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  • A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation

    A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation

    Our cohort included a total of 277 patients diagnosed with primary nasopharyngeal carcinoma in The First People’s Hospital of Foshan, China. All selected subjects were histopathologically confirmed as primary NPC without a prior history of radiation therapy, chemotherapy, or other malignancies that could potentially distort the tumor morphology. All patients were restaged according to the eighth edition of the Union for International Cancer Control/American Joint Committee on Cancer (UICC/AJCC) staging system27. The collected patients with age, gender, TNM stages, histopathological diagnosis, EBV status (VCA-IgA, EBV-DNA) and the five-year progression-free survival further contributed to the clinical database. The process of data is depicted in Fig. 1.

    Fig. 1

    Graphic abstract and showcase. The MRI showcases a patient’s MRI images including T1WI, T2WI, and CE-T1WI sequences, which were processed by the manual annotation with labeled tumor boundaries and highlighted areas, respectively.

    In our study, the image acquisition process was meticulously structured to ensure the highest quality of data for investigating nasopharyngeal carcinoma (NPC) segmentation. All cases underwent both non-contrast and contrast-enhanced MRI scans, providing comprehensive imaging and clinical data (see Table 4). The exclusion criteria included: 1. patients who had undergone radiotherapy or chemotherapy before the MRI examination, as the internal tumor structure and lesion boundaries may change after treatment, preventing an accurate reflection of the tumor’s original growth state; 2. patients with a history of other malignant tumors, which may confound variables and affect the study’s outcomes; 3. images that did not meet quality standards: (1) Incomplete scan coverage: When lesion areas were excessively large, parts of the lesions may have extended beyond the imaging field, resulting in incomplete evaluation of the entire NPC lesion. (2) Insufficient image resolution: Low-resolution images hindered accurate segmentation of tumor boundaries, potentially leading to imprecise measurements and analysis. (3) Presence of artifacts: Various imaging artifacts,such as motion or susceptibility effects, could obscure or distort the appearance of lesions, reducing the reliability of assessments.

    The dataset was captured using six MR scanners from manufacturers including GE Discovery MR750w 3.0T and Philips Achieva 1.5T systems with Gadoteric Acid Meglumine Salt as the contrast agent. The setup and calibration of the six MR scanners (see Table 3) were similar, as can be seen from the STD of machine parameters in Table 1.

    Table 1 MRI parameters of 277 patients.

    To ensure the privacy and confidentiality of patient information, a strict anonymization protocol was applied. Personal identifiers such as names, ages, birth data, sex, weight, content date were removed. Furthermore, unique patient IDs were replaced with the patients’ index within the dataset. Indirect identifiers were also deleted to prevent any potential re-identification, e.g., study date and institute information.

    Standardization and Calibration of MRI Machines

    To ensure consistency across different imaging sessions, a rigorous standardization and calibration protocol was implemented for all MRI scanners following international quality assurance standards. The calibration process aimed to minimize variations due to machine-specific differences and environmental factors.

    Calibration Procedure

    Each MRI machine was calibrated before the commencement of the study and checked regularly throughout the imaging period. The main aspects of the calibration process included:

    • Geometric calibration: Ensuring the geometric accuracy of the images by calibrating the scanner’s spatial resolution settings using a standardized phantom object.

    • Signal intensity calibration: Standardizing the signal intensity levels by adjusting the MR signal parameters to match a predefined baseline, ensuring consistent image brightness and contrast across sessions.

    • Magnetic field homogeneity adjustment: Regularly assessing and optimizing the magnetic field homogeneity to reduce artifacts and improve the accuracy of the image data.

    Quality Assurance

    To maintain the calibration standards, quality assurance tests were conducted periodically. These tests involved:

    • Acquiring images of a standard test phantom that includes structures to evaluate resolution, contrast, and signal uniformity.

    • Comparing these images against reference images to detect any deviations that might indicate a need for recalibration.

    Segmentation procedure

    Recognizing the importance of high-quality manually segmented data in advancing NPC imaging research, we have decided to share our meticulously curated dataset of manual NPC segmentations. This dataset, created by experienced radiologists using a standardized protocol, encompasses multiple MRI sequences and provides a valuable resource for researchers and developers working on improving NPC segmentation techniques.

    The segmentation procedure was a critical step in preparing MRI data for effective analysis. Since the manual segmentation is widely regarded as the gold standard due to its high accuracy, all the MRI images in this study were manually segmented.

    1. Image Review and Tumor Identification: All three sequence images were thoroughly reviewed to define tumor regions and areas of surrounding invasion. The process involved: (1) Localization: Confirming that the lesion originated from the nasopharyngeal mucosa or submucosa, typically presenting as early-stage mucosal thickening or soft tissue mass formation. On T1WI, lesions appeared as equal or high signals, while on T2WI, they showed high signals. CE-T1W images demonstrated significant enhancement. (2) Invasion Assessment: Larger lesions often exhibited invasion into surrounding structures. This could manifest as: a. Parapharyngeal space involvement, characterized by the disappearance of surrounding fat planes and muscle invasion. b. Upward extension with skull base bone destruction and intracranial invasion. Bone destruction was evident as high-signal yellow bone marrow was replaced by low-signal tumor tissue. c. Intracranial invasion commonly affects the cavernous sinus, temporal lobe, and cerebellopontine angle region. d. Cervical lymph node metastases, typically showing a top todown, ipsilateral to contralateral sequential pattern.

    2. Tumor Boundary Determination: Nasopharyngeal MRI scans usually include T1, T2, and CE-T1 sequences in axial, coronal, and sagittal planes. Radiologists integrated information from all three sequences to accurately determine tumor boundaries: T1WI effectively displayed the surrounding fat spaces and muscle structures. CE-T1WI was crucial for precise boundary determination of early mucosal thickening. T2WI helped differentiate tumor mass from mucosa, with the mass typically showing lower signal intensity than the mucosa.

    3. Manual Segmentation Procedure: Two experienced diagnostic radiologists, each with over ten years of work experience, independently performed layer-by-layer manual segmentation of lesion boundaries using ITK-SNAP 3.6.1 software (version 3.6.1)28. The polygon mode drawing icon was utilized for all three sequences in the axial plane.

    4. Specific Steps for Manual Segmentation: (1) Data Import: – DICOM format neck MR images exported from the Picture Archiving and Communication System (PACS), including the nasopharyngeal region, were imported into ITK-SNAP software. (2) Data Retrieval and Visualization: Window width and level were adjusted for optimal lesion edge visualization. Relevant slices containing lesions were selected for ROI annotation. (3) ROI Delineation and Adjustment: ROIs were manually delineated layer-by-layer, following the inner lesion boundary to reduce partial volume effects. For extensive tumors, care was taken to exclude adjacent structures (e.g., blood vessels, lymph nodes) while including direct invasion areas. Difficult boundaries in one sequence were cross-referenced with other sequences. Both continuous and point-by-point delineation methods were used, with manual adjustments as needed to ensure accuracy. After completing all layers, 3D segmentation images were generated for each sequence per patient.

    The segmented tumor regions were then converted into binary masks, representing the presence or absence of tumor tissue in each pixel. This rigorous segmentation procedure ensured the creation of a highly accurate and reliable dataset, forming a robust foundation for our subsequent analyses on NPC segmentation.

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  • Seven blood metabolites associated with excessive daytime sleepiness

    Seven blood metabolites associated with excessive daytime sleepiness

    Mass General Brigham researchers identified seven molecules in the blood linked to excessive daytime sleepiness, including factors related to diet and hormones.

    Approximately one in three Americans reports experiencing overwhelming drowsiness during the day-a condition known as excessive daytime sleepiness (EDS). EDS is linked to an increased risk of serious conditions such as cardiovascular disease, obesity, and diabetes. A new study led by investigators from Mass General Brigham and Beth Israel Deaconess Medical Center identifies several molecules in the blood, known as metabolites, that are linked to EDS. Findings suggest that risk of the condition may be influenced by both internal body processes, such as hormone levels, and external factors such as diet. Results are published in Lancet eBioMedicine. 

    Our study suggests diet and genetics may play an important role in EDS. As we learn what’s happening biologically, we are beginning to understand how and why EDS occurs, the early signs that someone might have it, and what we can do to help patients.” 


    Tariq Faquih, PhD, lead author, postdoctoral fellow in the Division of Sleep and Circadian Disorders at Brigham and Women’s Hospital

    Researchers collected data on 877 metabolites, naturally occurring molecules in the body influenced by diet and hormones. The team used blood samples from 6,000 participants in the Hispanic Community Health Study/Study of Latinos. The team also used data from a questionnaire that assesses how often a person dozes off during the day in various scenarios. The team replicated the findings in The Multi-Ethnic Study of Atherosclerosis (MESA) study and studies in the UK and Finland. 

    They identified seven metabolites associated with EDS. An additional three metabolites were identified that varied by sex. The team found that omega-3 and omega-6 fatty acids, which are commonly found in foods that make up Mediterranean-like diets, were associated with lower risk of EDS. Other metabolites, such as tyramine, which is found in fermented and overripe foods, were associated with increased daytime sleepiness, particularly in men. Sex steroid metabolites, such as progesterone, were associated with sleep-related processes such as melatonin production. 

    Researchers note that the results suggest potential treatment targets for EDS and that dietary changes or medications may lead to better treatment. They also note some limitations to the study, including difficulty in interpreting exact values of metabolites and using a sleep questionnaire instead of bringing participants into a sleep lab for tests. 

    Future directions could include conducting a clinical trial to see if dietary changes or supplements can help reduce daytime sleepiness. Additionally, the authors identified some unknown metabolites that they plan to explore further. 

    “Conducting a clinical trial would be a big next step and could help us understand if omega-3s and omega-6s obtained from diet could help lower risk of EDS,” said Faquih. 

    Source:

    Brigham and Women’s Hospital

    Journal reference:

    Faquih, T., et al. (2025) Steroid Hormone Biosynthesis and Dietary Related Metabolites Associated with Excessive Daytime Sleepiness. Lancet eBioMedicine. doi.org/10.1016/j.ebiom.2025.105881.

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  • BISE Sahiwal Board 9th Class Result 2025 Announced

    BISE Sahiwal Board 9th Class Result 2025 Announced

    The Board of Intermediate and Secondary Education (BISE) Sahiwal Board 9th class results 2025 have been announced.

    How to Check BISE Sahiwal Board 9th Class Result 2025 Online

    Students of BISE Sahiwal can check results through the following 3 methods.

    Sahiwal Board Website:

    Students can check their marks by visiting the official BISE Sahiwal website.

    Sahiwal Board SMS:

    Results are also available via SMS. Students can simply send their roll number to 800292 and receive their results on their mobile phones.

    Sahiwal Board Gazette:

    The complete result gazette has been issued by the board. Students and schools can download the gazette in PDF format from the official website or obtain it from affiliated institutions.


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  • New study finds link between sleep problems and self-harm in teenage years

    New study finds link between sleep problems and self-harm in teenage years

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    Young teenagers who have sleep problems are at higher risk of engaging in self-harm by the time they turn 17, a new study has found.

    UK researchers found that self-reported sleep problems at age 14 were directly associated with self-harming behaviour both then and at age 17.

    The results indicate that sleep patterns can have long-lasting impacts on teenagers’ wellbeing, the researchers said.

    “Self-harm is one of the leading causes of death among adolescents and young adults,” said Nicole Tang, one of the study’s authors and a clinical and health psychologist at the University of Warwick.

    “Knowing that poor and fragmented sleep is often a marker preceding or co-occurring with suicidal thoughts and behaviour, it gives us a useful focus for risk monitoring and early prevention,” she added.

    In recent years, sleep deficiency and self-harm in young people have separately emerged as public health concerns in Europe.

    The share of teenagers who meet sleep recommendations on school days range from 32 per cent in Poland to 86.3 per cent in the Flemish part of Belgium, a 2020 review found.

    The American Academy of Sleep Medicine (AASM) recommends that 13- to 18-year-olds get eight to ten hours of sleep per night during the week.

    The latest study, which was published in the Journal of Child Psychology and Psychiatry, included more than 10,000 participants aged 14 in the United Kingdom. 

    They were asked about their sleep problems, including how long they slept on school days, how long it took them to get to sleep, and how often they woke up during the night. 

    The 14-year-olds were also asked whether they had deliberately hurt or injured themselves. 

    They were asked the same question  again three years later when they were surveyed at age 17.

    When young teens got less sleep on school nights, woke up more often overnight, or took longer to fall asleep, they were more likely to report self-harm at ages 14 and 17, the study found.

    Sleep problems raised these risks even after the researchers accounted for other known factors, such as age, sex, socioeconomic status, previous instances of self-harm, self-esteem, and depression.

    It’s still not clear exactly why there appears to be a link between poor sleep and self-harm. The researchers tested whether poor sleep could be linked to worse decision-making, thus raising the risk of self-harm, but this turned out not to be the case.

    Even so, researchers noted that sleep is a “modifiable risk factor,” meaning improving teenagers’ sleep quality and length may help reduce the risk of self-harm and have long-lasting benefits.

    “While this is clearly an unfavourable relationship … we can actually do something about it,” said Michaela Pawley, one of the study’s authors and a psychology researcher at the University of Warwick.

    “If the link between sleep and self-harm holds true and with well-placed interventions in schools and homes, there is a lot we can do to turn the tide,” she added.

    If you are contemplating suicide and need to talk, please reach out to Befrienders Worldwide, an international organisation with helplines in 32 countries. Visit befrienders.org to find the telephone number for your location.

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  • Louis Vuitton has officially entered the beauty race

    Louis Vuitton has officially entered the beauty race

    Become a Vogue Business Member to receive unlimited access to Member-only reporting and insights, our Beauty and TikTok Trend Trackers, Member-only newsletters and exclusive event invitations.

    La Beauté Louis Vuitton has entered the makeup arena.

    The new collection from the luxury house includes 55 matte and satin lipsticks, 10 lip balms, eight eyeshadow palettes, blotting papers, a travel brush set and small leather vanity cases in two limited-edition colours (‘Rouge Louis’ red and ‘Tender Bliss’ pink) alongside the traditional monogram brown, and a miniature lipstick trunk. The collection will be sold exclusively at 92 Louis Vuitton stores globally, through British retailer Harrods and at two pop-up locations in New York and Dosan Park (Seoul). The launch marks the brand’s official entry into colour cosmetics.

    (Left) The lipstick refill mechanism is designed after the monogrammed flower (Right) LV Rouge Monogram Rouge 896.

    Photo: Courtesy of La Beauté Louis Vuitton

    I previewed the collection ahead of its 29 August worldwide debut, housed inside a private suite at Louis Vuitton’s London flagship on New Bond Street. At the centre of the table, sits the three hero Rouge LV lipsticks, ‘854’ (a blue-red, named after the brand’s founding year of 1854), ‘896’ (a red-brown shade, named after the year the monogram was created in 1896) and ‘Spell On You’ (a rose pink) — they’re surrounded by the full range of refillable lipsticks, eyeshadow palettes and brushes.

    Each product is weighted and finished with precision: lipstick bullets and eyeshadow palette cases feature engraved monogram detailing, while refill components snap and lock back into place cleanly, with the brand’s monogrammed flower as the design mechanism. Brushes follow the same design language. Product textures are soft, hydrating and buildable, with lipsticks offering a satin finish and creamy shadows blending seamlessly. A subtle scent, developed by house perfumer Jacques Cavallier Belletrud and using an upcycled flower wax, runs through the collection without overwhelming it.

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  • Here’s How Much Pakistan’s Cricketers Will Earn Under the New Central Contracts

    Here’s How Much Pakistan’s Cricketers Will Earn Under the New Central Contracts

    The Pakistan Cricket Board’s (PCB) announcement of new central contracts has sparked plenty of debate among fans and experts alike—for some very obvious reasons. For the first time since central contracts were introduced, no player was awarded a Category A deal, which many attributed to the team’s recent performances.

    While demotions and promotions will be parsed endlessly online, the PCB has included a significant pay rise for players in Categories C and D, sources confirmed on Tuesday.

    According to details, cricketers in Category C will now receive PKR 2.5 million per month, a jump of PKR 500,000 from last year’s PKR 2 million. Meanwhile, those in Category D will take home PKR 1.5 million monthly, reflecting an increase of PKR 300,000 from the previous PKR 1.2 million.

    Players in Category B, however, have not been given any raise under the latest update but will still take home PKR 3 million per month.

    The 30 contracted players have been evenly divided—10 each in Categories B, C, and D—with 12 fresh faces joining the list. The new entrants include Ahmed Daniyal, Faheem Ashraf, Hasan Ali, Hasan Nawaz, Hussain Talat, Khushdil Shah, Mohammad Abbas, Mohammad Haris, Mohammad Nawaz, Sahibzada Farhan, Salman Mirza, and Sufyan Moqim.

    On the flip side, eight cricketers have missed out entirely after holding contracts last season: Aamir Jamal, Haseebullah, Kamran Ghulam, Mir Hamza, Mohammad Ali, Mohammad Huraira, Muhammad Irfan Khan, and Usman Khan—all of whom were previously in Category D.

    While the debate will rage on over the PCB’s criteria for awarding central contracts, the new pay structure reflects an effort to offer better financial incentives to a wider talent pool. With team management focusing on separate squads for each format, this structure may well be carried into future contracts.


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  • ‘KPop Demon Hunters’ Sells Out 975 Showings

    ‘KPop Demon Hunters’ Sells Out 975 Showings

    Netflix is delivering the late-summer box office a surprise (and needed) gift.

    The streamer and theater owners, and particularly the major chains, have been at loggerheads for years over exclusive theatrical windows. Netflix has always made it clear that its subscribers are its first priority, resulting in its titles often being boycotted by the bigger circuits. But in this case, the rules are being tossed aside as cinema operators rush to be part of the KPop Demon Hunters, which is fast on its way to becoming the most viewed movie of all time on the streamer.

    On Aug. 23 and 24, Netflix is hosting singalong screenings of the animated feature in North America, the U.K., Australia and New Zealand. Insiders tell The Hollywood Reporter that 1,700 cinemas in the U.S. and Canada have already booked the special event, with more locations being added daily. And, as of late on Aug. 19, 1,000 showtimes were already sold out.

    Regal Cinemas and Cinemark Theatres — the country’s two largest circuits behind AMC Theatres — are playing the singalongs, along with Alamo Drafthouse and numerous other circuits. So far, AMC doesn’t appear to be part of the action, but that could always change.

    The movie centers on the adventures of Huntr/x, a trio comprised of K-pop superstars Rumi (Arden Cho), Mira (May Hong) and Zooey (Ji-young Yoo) who use their secret identities as badass demon hunters to protect their fans from an ever-present supernatural threat. Together, they must face their biggest enemy yet — an irresistible rival boy band of demons in disguise.

    KPop Demon Hunters: A Sing-Along Event could provide a notable boost for an otherwise quiet weekend and land high up on the domestic chart amid new nationwide entry Honey Don’t!, from director Ethan Coen, and holdovers Weapons and Freakier Friday.

    Netflix isn’t providing guidance as to how much the singalongs could earn, but box office pundits say they could generate anywhere from $5 million to north of $10 million in North America, based on advance ticket sales and the sell-out shows. (A big unknown is whether Netflix will break with tradition and make grosses public.)

    Along with becoming a surprise hit for the streamer since debuting in June, the movie’s soundtrack also made the top 10 list for the Billboard 200 chart, with “Golden” becoming a number one hit. Other songs include “How It’s Done.” The original songs for KPop Demon Hunters were performed by EJAE, Audrey Nuna, REI AMI, Andrew Choi, Danny Chung, Kevin Woo, samUIL Lee, Neckwav and Lea Salonga, while Jeongyeon, Jihyo and Chaeyoung performed their own original song.

    Maggie Kang and Chris Appelhans directed the animated feature for Sony Pictures Animation, based on a screenplay by Danya Jimenez, Hannah McMechan, Kang and Appelhans. The ensemble cast also includes Ahn Hyo-seop, Yunjin Kim, Joel Kim Booster and Liza Koshy, along with Daniel Dae Kim, Ken Jeong and Byung Hun Lee

    From Focus Features, Honey Don’t! is tracking to open in the $3 million to $4 million range from 1,300 locations in North America. Starring Margaret Qualley, the film was directed by Coen from a script he wrote with Tricia Cooke. The story follows a small-town private investigator trying to solve a series of deaths tied to a mysterious church. Aubrey Plaza, Charlie Day, Billy Eichner and Chris Evans co-star.

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  • Development and validation of a nomogram-based predictive model for recurrence risk of uterine leiomyoma after myomectomy

    Development and validation of a nomogram-based predictive model for recurrence risk of uterine leiomyoma after myomectomy

    Baseline characteristics

    The clinical cases included were randomly divided into a training cohort and a validation cohort at a 7:3 ratio, with a total of 476 cases in the training cohort and 202 cases in the validation cohort. Chi-square tests were used to assess differences in various indicators between the two groups. The results are shown in Table 1, and there were no statistically significant differences between the training and validation cohorts across all indicators (p > 0.05).

    Table 1 Baseline clinical characteristics of patients in the training and validation cohorts.

    Model development

    In the training cohort, LASSO regression was applied to identify predictors associated with uterine fibroid recurrence based on clinical variables. The coefficient path plot (Fig. 2A) illustrates how each variable’s regression coefficient changes with the regularization parameter λ. As λ increases, coefficients for less important variables shrink toward zero, leaving only the most relevant predictors. The optimal λ was determined using tenfold cross-validation (Fig. 2B), with the λ corresponding to the minimum mean squared error (left vertical dashed line) selected to reduce overfitting and enhance model robustness. LASSO regression identified six key variables: fibroid subtype (non-submucosal types), MDF, Residue, POP or POC, FH and TVS.

    Fig. 2

    LASSO Regression for Variable Selection. (A) Coefficient path plot; (B) cross-validation curve. The vertical dashed line on the left represents the λ value associated with the minimum mean squared error.

    These six variables were subsequently entered into a multivariate binary logistic regression model. As shown in Table 2, submucosal leiomyoma was identified as an independent protective factor (OR = 0.381, P = 0.015). In contrast, postoperative residue (OR = 10.746, P < 0.001), POP or POC (OR = 4.121, P < 0.001), and FH (OR = 2.045, P = 0.003) were significant independent risk factors for recurrence. While a fibroid diameter ≤ 4 cm appeared to confer a protective effect (OR = 0.817), this did not reach statistical significance (P = 0.571). Similarly, the number of fibroids on TVS was not statistically significant (P = 0.129), although a trend toward increased risk with higher counts was observed.

    Table 2 Multivariate logistic regression analysis for predicting postoperative uterine fibroid recurrence in the training cohort.

    Nomogram for predicting uterine fibroid recurrence after surgery

    Based on the multivariate logistic regression results, a nomogram was constructed to predict the risk of fibroid recurrence following myomectomy (Fig. 3). Each of the six predictors included in the model is assigned a point value using a corresponding scale. The total score, obtained by summing the individual scores, yields an estimated probability of recurrence. To demonstrate the application of the nomogram, we selected a representative patient from the study cohort. This patient had a maximum fibroid diameter > 4 cm, a non-submucosal fibroid subtype, postoperative residual fibroids, and four fibroids identified on transvaginal ultrasound (TVS score = 2). The total score calculated was 280, corresponding to an estimated recurrence probability of 87.8%.

    Fig. 3
    figure 3

    Nomogram for predicting postoperative uterine fibroid recurrence. The model includes six predictors: MDF, LS, POP or POC, Residue, FH, and TVS. Each predictor is assigned a point score, and the total score corresponds to an estimated recurrence probability. Red dashed lines illustrate an example patient. Higher total points indicate a higher probability of fibroid recurrence.

    Model evaluation based on validation cohort

    To comprehensively evaluate the model’s performance, ROC curves were generated for both the training and validation cohorts based on predicted probabilities and actual outcomes. In addition to the AUC, key classification metrics—including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy—were calculated to provide a more complete assessment of predictive performance (Table 3).

    Table 3 Performance metrics of the predictive model in the training and validation cohorts.

    In the training cohort, the model yielded an AUC of 0.834 (95% CI: 0.796–0.873) (Fig. 4A), indicating excellent discriminatory ability. In the validation cohort, the AUC was 0.799 (95% CI: 0.737–0.861) (Fig. 4B), demonstrating good generalizability. The C-index derived from ten-fold cross-validation in the training cohort was 0.795 (95% CI: 0.673–0.918), further supporting the model’s robustness and discriminative capability.

    Fig. 4
    figure 4

    ROC curves for the logistic prediction model. (A) Training cohort (n = 476, AUC = 0.834); (B) Validation cohort (n = 202, AUC = 0.799).

    Calibration analysis further demonstrated strong consistency between predicted and observed recurrence probabilities. In the training cohort, the calibration curve (Fig. 5A) closely aligned with the ideal reference line, with a mean absolute error of 0.019. In the validation cohort (Fig. 5B), the calibration curve also showed good agreement, with a mean absolute error of 0.035. These findings suggest that the model exhibits high calibration quality and reliable performance across different datasets.

    Fig. 5
    figure 5

    Calibration curves for the logistic prediction model. The red curve indicates the apparent predicted probabilities, the blue curve shows the bootstrap-corrected estimates, and the dashed line represents perfect calibration. (A) Training cohort; (B) Validation cohort.

    The Hosmer–Lemeshow goodness-of-fit test (χ2 = 5.362, P = 0.616) indicated no significant deviation between the model’s predicted probabilities and observed outcomes (P > 0.05), supporting its good calibration and overall fit. To further assess clinical applicability, DCA was performed for both the training and validation cohorts (Fig. 6). The DCA curves demonstrated that the prediction model yielded a consistently greater net benefit than the “treat all” or “treat none” strategies across a broad spectrum of threshold probabilities, particularly between 0.1 and 0.5. This threshold range reflects clinically relevant scenarios in which decisions about postoperative surveillance or preventive treatment may be considered. The red curve (training cohort) and blue curve (validation cohort) both lie above the gray line (“All”) and black line (“None”) across this range, suggesting that the model can effectively stratify patients according to their recurrence risk. This enables clinicians to prioritize intervention for high-risk individuals while avoiding unnecessary treatment in low-risk cases. Therefore, the model not only exhibits strong predictive performance but also has the potential to optimise, improving patient outcomes, and enhancing healthcare resource allocation.

    Fig. 6
    figure 6

    Decision curve analysis for the logistic prediction model. The red line represents the training cohort, and the blue line represents the validation cohort. The gray line (All) assumes all patients receive treatment, while the black line (None) assumes no patient receives treatment.

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  • Association of the Glycemia Risk Index With Glycemic Metrics and Sensor Usage in a Real-World Pediatric Population With Low Hypoglycemia Rates in Saudi Arabia

    Association of the Glycemia Risk Index With Glycemic Metrics and Sensor Usage in a Real-World Pediatric Population With Low Hypoglycemia Rates in Saudi Arabia


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  • Species Diversity Exploded Across Tree of Life

    Species Diversity Exploded Across Tree of Life

    The British evolutionary biologist JBS Haldane is said to have quipped that any divine being evidently had ‘an ordinate fondness for beetles’. This bon mot conveyed an important truth: the ‘tree of life’ – the family tree of all species, living or extinct – is very uneven. In places, it resembles a dense thicket of short twigs; elsewhere it has only sparse but long branches. A few groups tend to predominate: as Haldane pointed out, more than 40% of extant insects are beetles, while 60% of birds are passerines, and more than 85% of plants are flowering plants.

    But is such a concentration of species within a few exceptionally large groups a universal phenomenon of life on Earth? This question, important for our understanding of evolution and ecology, has long been the subject of controversy among biologists. But until recently, it was difficult to answer due to our poor knowledge of the number of species in existence, their evolutionary relationships, and the age of each group. But now, scientists in the US finally have provided an answer, published in Frontiers in Ecology and Evolution .

    “Here we show for the first time that most living species do indeed belong to a limited number of rapid radiations: that is, they form groups with many species which evolved in a relatively short period of time,” said Dr John J. Wiens, a professor at the University of Arizona.

    “Specifically, if we look among the kingdoms of life, among animal phyla, and among plant phyla, we find in each case that more than 80% of known species belong to the minority of groups with exceptionally high rates of species diversification.”

    Wiens and his coauthor Dr Daniel Moen, an assistant professor at the University of California Riverside, here analyzed the distribution of species richness and diversification rates across ‘clades’ – groups of species that each evolved from a single ancestor, such as phyla, classes, or families.

    Out on a limb

    They did this for land plants, insects, vertebrates, for all animals, and for all species across life. They analyzed data on each clade’s species richness, age, and estimated diversification rate: that is, the accumulation of new species over time.

    They focused on 10 phyla, 140 orders, and 678 families of land plants, jointly spanning more than 300,000 species; 31 orders and 870 families of insects, encompassing more than one million known species; 12 classes of vertebrates, encompassing more than 66,000 species; and 28 phyla and 1,710 families of animals with more than 1.5 million species. Finally, they analyzed 17 kingdoms and 2,545 families across all of life, including more than 2 million species.

    The results were clear and consistent: irrespective of hierarchical level or group of organisms, the majority of extant species proved to be restricted to a few disproportionately large clades with higher-than-average diversification rates.

    ‘Rapid radiations’ of species are thought to occur when a new ecological niche opens up: for example, when a flock of grassquit birds dispersed from Central America to the virgin territory of the Galápagos Islands approximately 2.5 million years ago to diversify into the famous Darwin’s finches; or when an evolutionary innovation like powered flight prompted the radiation of bats 50 million years ago.

    Seeing the forest for the trees

    “Our results imply that most of life’s diversity is explained by such relatively rapid radiations. We also suggest key traits that might explain these rapid radiations, based on our results and results of earlier studies,” said Wiens.

    “These traits include multicellularity in plants, animals, and fungi across the kingdoms of life; the invasion of land and the adoption of a plant-based diet in arthropods among animal phyla; and the emergence of flowers and insect pollination in flowering plants among plant phyla,” said Wiens.

    However, one ‘known unknown’ remains: the distribution of species within the kingdom bacteria. Approximately 10,000 species of bacteria are known to science, but current estimates for the true number range from millions to trillions. However, the origin of bacteria dates back to 3.5 billion years ago, and so the overall diversification rate among them is actually quite low.

    “If actual bacterial richness really is much higher than described richness for other groups, then a clade with low diversification rates [namely bacteria] would contain the majority of species across life – this would be in stark contrast to our results. Therefore, we caution that our results apply primarily to known species diversity,” wrote the authors.

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