Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

在肉眼无法企及的微观世界里，一场残酷的进化军备竞赛每天都在真实地上演。地球上数量最庞大的生物实体——噬菌体（bacteriophages），正无休止地向细菌发起致命的感染攻击。为了在这场生死存亡的较量中幸存，细菌在漫长的岁月里进化出了高度复杂的先天免 ...

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 ...

Precision medicine and multidisciplinary care in gastric and gastroesophageal junction (G/GEJ) cancers: Challenges and practice gaps in community cancer clinics. This is an ASCO Meeting Abstract from ...

Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...