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 ...
Earth.com

Nearby planet with a magma ocean is an entirely new class of molten world

Scientists discover a nearby planet with a molten interior and sulfur-rich atmosphere, L 98-59 d, revealing a possible new ...

How AI deep learning is helping scientists protect California's coastal ecosystems

Researchers at UCLA's Institute of the Environment and Sustainability have developed the most high-resolution statewide maps ...

What makes a genus real? Scientists use tree bats to evaluate a testable '2 Sigma Genus Concept'

Dr. Amy Baird, Professor of Biology at the University of Houston-Downtown (UHD), and her colleagues are seeking to change the attitude of biologists toward the meaning of taxonomic categories above ...
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 ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...