Morning Overview on MSN

UCLA uses deep learning to map kelp and protect California coasts

Researchers at UCLA’s Institute of the Environment and Sustainability have built a deep learning model that generates statewide kelp canopy maps for California, processing tens of thousands of ...

Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
Que.com on MSN

AI-guided LNP design for targeted in vivo mRNA delivery

Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and opening new paths ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...
Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...