The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
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Global analysis uses machine learning to map drivers of cancer outcomes
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.
The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...
Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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