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AI system spots Parkinson’s signs in voice, walking and drawings

By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...
ascopubs.org

Predicting clinical outcomes in the S1314-COXEN trial using a multimodal deep learning model integrating histopathology, cell types, and gene expression.

Correlation of urinary comprehensive genomic profile with risk of recurrence of BCG-unresponsive non-muscle invasive bladder cancer treated with atezolizumab in SWOG S1605. This is an ASCO Meeting ...
ascopubs.org

Deep-learning model for real-time prediction of recurrence in early-stage non-small cell lung cancer: A multi-modal approach.

Implications of EGFR expression in MAPK dependency and adaptive immunity status of EGFR-mutated lung adenocarcinoma. Baseline RADAR score and optimal threshold of predicting relapse within one year ...
EE World Online

What is multimodal sensing in physical AI?

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Devdiscourse

E-commerce shifts from forecasting to autonomous AI decision-making

Online shopping has evolved into a high-speed data battlefield where every click, scroll, and purchase feeds algorithms that decide what consumers see next. Retail giants now depend on advanced ...