A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Assessment of Circulating Tumor DNA Burden in Patients With Metastatic Gastric Cancer Using Real-World Data Endometrial cancer (EC) is the most common gynecologic cancer in the United States with ...
Morning Overview on MSN
AI model predicts new carbon crystals, including one harder than diamond
Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
The landscape of artificial intelligence and machine learning is undergoing a seismic shift in early 2026. As we move beyond the era of simple text prediction and generative chatbots, a new paradigm ...
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