HBO has released the oficial trailer and key art for the new HBO Original series, ÂNGELA DINIZ: MURDERED AND CONVICTED. Directed by Andrucha Waddington, the six-episode series debuts…
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CME Group Announces First Trades of Options on Solana and XRP Futures
CHICAGO, Oct. 14, 2025 /PRNewswire/ — CME Group, the world’s leading derivatives marketplace, announced its new options on Solana (SOL) and XRP futures suite are now available for trading. Clients will now have the ability to trade options on SOL, Micro SOL, XRP, and Micro XRP futures, with daily, monthly and quarterly expiries available.
The first trade for options on XRP futures took place on Sunday, October 12 and was executed between Wintermute and Superstate. The first trade for options on SOL futures took place on Monday, October 13 and was executed between Cumberland DRW and Galaxy.
“As the crypto market continues to mature, market participants increasingly are looking to manage their exposure and pursue new opportunities across a wider range of crypto instruments,” said Giovanni Vicioso, Global Head of Cryptocurrency Products at CME Group. “With the deep liquidity we’ve built in our Solana and XRP futures markets, these new options provide traders with additional tools to further enhance their growing cryptocurrency investment and hedging strategies. We are pleased with the early support we’ve seen from a wide range of clients for these new contracts.”
“Wintermute is proud to execute the first block trade in CME Group’s XRP options with Superstate,” said Ethan Ren, Head of Options at Wintermute Group. “The launch marks an important extension of listed crypto derivatives beyond BTC and ETH, reflecting growing sophistication in how market participants manage exposure. We see this as a positive signal for the continued evolution and depth of crypto options markets.”
“We’re pleased to have participated in the first CME Group XRP options block trade alongside Wintermute,” said Saahith Pochiraju, Portfolio Manager at Superstate. “The launch of options on XRP futures expands the instruments available to manage and hedge digital asset exposure within strategies like our Superstate Crypto Carry fund. This development reflects growing institutional depth in crypto derivatives, and we’re glad to support CME Group’s ongoing efforts to broaden liquidity and market access.”
“Cumberland is thrilled to facilitate the first block trade for options on SOL futures, which highlights the strong and growing demand for more ways to trade digital assets,” said Roman Makarov, Head of Cumberland Options Trading at DRW. “Institutional participants are clearly seeking greater choice and depth in crypto markets — a trend that will continue to drive innovation across the ecosystem.”
“We’re proud to facilitate the first block trade on CME Group’s SOL options, expanding institutional access to one of the fastest growing blockchain ecosystems,” said Jason Urban, Global Head of Trading at Galaxy. “The addition of SOL and XRP options marks another important step in the evolution of regulated crypto derivatives, deepening liquidity and broadening the tools available to market participants.”
For more information on these products, please visit www.cmegroup.com/cryptooptions.
As the world’s leading derivatives marketplace, CME Group (www.cmegroup.com) enables clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes, foreign exchange, cryptocurrencies, energy, agricultural products and metals. The company offers futures and options on futures trading through the CME Globex platform, fixed income trading via BrokerTec and foreign exchange trading on the EBS platform. In addition, it operates one of the world’s leading central counterparty clearing providers, CME Clearing.
CME Group, the Globe logo, CME, Chicago Mercantile Exchange, Globex, and E-mini are trademarks of Chicago Mercantile Exchange Inc. CBOT and Chicago Board of Trade are trademarks of Board of Trade of the City of Chicago, Inc. NYMEX, New York Mercantile Exchange and ClearPort are trademarks of New York Mercantile Exchange, Inc. COMEX is a trademark of Commodity Exchange, Inc. BrokerTec is a trademark of BrokerTec Americas LLC and EBS is a trademark of EBS Group LTD. The S&P 500 Index is a product of S&P Dow Jones Indices LLC (“S&P DJI”). “S&P®”, “S&P 500®”, “SPY®”, “SPX®”, US 500 and The 500 are trademarks of Standard & Poor’s Financial Services LLC; Dow Jones®, DJIA® and Dow Jones Industrial Average are service and/or trademarks of Dow Jones Trademark Holdings LLC. These trademarks have been licensed for use by Chicago Mercantile Exchange Inc. Futures contracts based on the S&P 500 Index are not sponsored, endorsed, marketed, or promoted by S&P DJI, and S&P DJI makes no representation regarding the advisability of investing in such products. All other trademarks are the property of their respective owners.
CME-G
SOURCE CME Group
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Predicting Respiratory Disease Mortality | RSNA
Potential of AI Hinges on Clinical Validation
The study results show the transformative potential of deep learning in medicine, according to Eduardo Moreno Júdice de Mattos Farina, MD, a neuroradiologist and pediatric radiology fellow at Universidade Federal de São Paulo, and Paulo Eduardo de Aguiar Kuriki, MD, neuroradiologist and assistant professor at UT Southwestern Medical Center in Dallas.
In a commentary accompanying the study, Drs. Farina and Kuriki praised the research for validating a publicly available AI tool in an external population and correlating it with clinical data and relevant outcomes, especially respiratory disease mortality and all-cause mortality.
AI models for prognosis like the one examined in the study can support more personalized health care planning, Dr. Farina noted. For instance, two patients with chronic obstructive pulmonary disease (COPD) of the same age and gender with similar lab results might traditionally receive similar care.
“However, an AI model may reveal differences in mortality risk not apparent through conventional means, prompting clinicians to adjust the frequency or intensity of follow-up accordingly,” he said. “This could help allocate resources more efficiently and improve outcomes through tailored management.”
The key challenge going forward, Dr. Farina said, lies in validating whether model-guided interventions genuinely improve patient outcomes without introducing new biases.
“We need randomized controlled trials where care decisions are based on AI predictions to assess their real-world impact,” Dr. Farina said. “Without this level of evidence, the model’s output risks becoming just another number without clinical consequence.”
Dr. Kim echoed Dr. Farina’s call for more research.
“This study focused on mortality, which is an important but relatively abstract outcome,” he said. “For clinical implementation, further research is needed to link the CXR-Lung-Risk score to more actionable endpoints, such as the incidence of specific respiratory diseases or the impact of targeted interventions.”
For More Information
Access the Radiology: Artificial Intelligence article, “Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population,” and the related commentary, “Predicting Mortality with Deep Learning: Are Metrics Alone Enough?”
Read previous RSNA News stories on chest imaging:
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