The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

キーサイト・テクノロジー、「Machine Learning Toolkit」を発表

【プレスリリース】発表日:2026年02月03日キーサイト、デバイスモデリングとPDK開発を加速するMachine Learning ...
Morning Overview on MSN

Machine learning is turbocharging cheap lithium-ion battery design

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
マイナビニュース

SC18 - 量子雑音をモデルできるAtosのQuantum Learning Machine

SC18におけるSCベンダーフォーラムでAtosは「Quantum Learning Machine(QLM)」のプレゼンテーションを行った。Atosは、日本では余りなじみがない会社であるが、売り上げ規模は15兆円というフランスの巨大IT企業で、現在ではBullもAtosグループ傘下の会社となっている。

Reuniting forcibly separated families: How a machine-learning model can help

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
AZoLifeSciences on MSN

Machine learning model accelerates manufacturing timeline of monoclonal antibodies

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions.