Nature

Interpretable machine learning-driven biomarker identification and validation for Alzheimer’s disease

Alzheimer’s disease (AD) is a prevalent neurodegenerative disorder that is primarily characterized by the progressive impairment of cognitive function 1,2. The etiology of AD is still unclear, and ...
Nature

Machine learning-based predictive models for the occurrence of behavioral and psychological symptoms of dementia: model development and validation

The behavioral and psychological symptoms of dementia (BPSD) are challenging aspects of dementia care. This study used machine learning models to predict the occurrence of BPSD among ...
ascopubs.org

Development and validation of machine learning model for mortality after curative gastrectomy for gastric cancer.

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 ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GEN

Machine Learning for Process Validation

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...
AlphaGalileo

Machine Learning Uncovers Dihydromyricetin as a Novel TGF-β/ALK5 Inhibitor for Pulmonary Fibrosis

Idiopathic pulmonary fibrosis remains a hard-to-treat lung disease with limited effective drugs. A recent study in Engineering used machine learning ...