Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
European Medical Journal

AI-Enhanced Approaches to Interstitial Lung Disease: A Review of Machine Learning Advances

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
IEEE

Rainfall Classification Using Machine Learning Algorithms on Data Mining Platforms

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
jmg.bmj

Investigating the use of a patient-facing digital app to support Lynch syndrome carriers in the management of their condition

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...
IEEE

Spam Classification Using Machine Learning: Performance Evaluation and Insights

Abstract: The article discusses about using machine learning methods for determining unwanted messages. The expansion of portable phone applications has driven to an uncommon rise in SMS spam.
C&EN

Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning

Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States ...
GitHub

machine-learning-in-drug-discovery

> Statistical analysis of aromatase inhibitors using Python, RDKit, and ChEMBL. Includes Mann–Whitney U Tests on LogP, Molecular Weight, H-bond properties, and pIC50 with visualizations.
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
Benzinga.com

Eli Lilly Meshes AI With Drug Research, Touts $1B Worth Of Research Data

Eli Lilly and Co. LLY on Tuesday launched Lilly TuneLab, an artificial intelligence and machine learning (AI/ML) platform that provides biotech companies access to drug discovery models trained on ...
Morningstar

insitro Partners with Lilly to Build First-in-Kind Machine Learning Models to Advance Small Molecule Drug Discovery

insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to develop advanced machine learning models that can ...
CBSSports.com

Chiefs vs. Chargers in Brazil NFL props, odds, SportsLine Machine Learning Model AI predictions, picks for SPG

The Kansas City Chiefs and Los Angeles Chargers renew their AFC West rivalry when they meet in the 2025 NFL Sao Paulo Game on Friday. Kickoff at Corinthians Arena is scheduled for 8 p.m. ET. This ...
Variety

Venice Film Festival Reviews: ‘The Smashing Machine,’ ‘Frankenstein,’ ‘After the Hunt,’ ‘Bugonia,’ ‘A House of Dynamite’ and More

Ciao! The 82nd annual Venice Film Festival is underway and the stars have hit the canals, with this year’s world premieres including Yorgos Lanthimos kidnap thriller “Bugonia,” Noah Baumbach’s showbiz ...