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- 1Fitness expert criticises UEFA over Sunderland's Brobbey injuryβFitness expert criticises UEFA as Sunderland await Brian Brobbey injury verdict
Sunderland are awaiting the results of a scan to determine the extent of a hamstring injury to striker Brian Brobbey, suffered while on international duty with the Netherlands. A fitness expert has criticised UEFA over player workload and scheduling, arguing that congested international fixtures are contributing to muscle injuries among players returning to their clubs.
- 2NIDA Awards UC San Diego $12.6 Million for Addiction ResearchβNIDA Awards UC San Diego $12.6 Million to Unite Alcohol and Drug Addiction Research Under One Roof
The National Institute on Drug Abuse has awarded UC San Diego $12.6 million to bring alcohol and drug addiction research together under a single unified program. The funding is meant to consolidate studies of substance use disorders that have traditionally been split between alcohol and drug research teams, enabling a more integrated scientific approach to addiction treatment and prevention at the university.
- 3Deep Learning Tool Predicts Leukemia Patient RiskβDeep Learning Tool Reads Leukemiaβs Regulatory Code to Predict Patient Risk
Researchers have developed a deep learning tool that reads the regulatory code of leukemia cells to predict patient risk. By analyzing how genetic regulatory elements behave in cancer cells, the model aims to forecast how the disease will progress in individual patients. Such tools could help doctors tailor treatment intensity and identify high-risk cases earlier, though details on validation and clinical use remain limited.
- 4AI Graph Model Tackles Drug-Target Prediction ChallengeβAI Graph Model Tackles the Hardest Problem in Drug-Target Prediction
A new artificial intelligence model based on graph structures is being reported as capable of addressing the hardest problem in drug-target prediction, a key step in identifying which compounds will bind to disease-related proteins. The claim, reported by Bioengineer.org, highlights progress in computational biology where accurate prediction could speed up drug discovery and reduce costly laboratory screening.
- 5Graph Transformer Model Targets Better RNA Velocity PredictionsβGraph Transformer Model Aims to Sharpen RNA Velocity Predictions in Single-Cell Genomics
A new graph transformer model has been proposed to improve RNA velocity predictions in single-cell genomics, according to a report from Bioengineer.org. RNA velocity estimates the direction and speed of cell state changes, and transformer-based architectures applied to gene interaction graphs are being put forward as a way to make these forecasts more accurate for researchers studying cell development.
- 6AI Model Predicts Where RNA Molecules Work Inside CellsβAI Model Reads RNA Sequences to Predict Where They Work Inside Cells
A new AI model reads RNA sequences and predicts where those molecules function inside cells. If reliable, the approach could speed up research into gene regulation and disease mechanisms, which depend heavily on knowing where RNA operates. Details about who developed the model, its accuracy, and whether it has been published or validated remain limited.
- 7SpaceX shares close above $200: a rare milestoneβSpaceX Stock Has Closed Above $200 Exactly Once. Prediction: It Will Again Before 2028.
SpaceX has closed above $200 a share only once, and analysts at The Motley Fool predict the company will hit that level again before 2028. As a privately held company, SpaceX's shares trade in limited secondary markets, so any move toward that price is closely watched as a signal of its valuation ahead of a potential public listing. Investors are weighing the company's growth in Starlink and launch services against expectations for an eventual IPO.
- 8US DOJ Indicts CEO Over AI Chip Smuggling to ChinaβUS Department of Justice indicts CEO for smuggling βAI chipsβ into China
The US Department of Justice has indicted a chief executive on charges of smuggling AI chips into China, allegedly in violation of US export controls on advanced semiconductors. The case underscores Washington's tightening enforcement of restrictions on high-end chip sales to China, amid growing concern that US-made processors are being diverted for Chinese AI development.