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Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Several multiple sequence alignment-perturbing methods enhance AlphaFold3 sampling of alternative protein states. [PDF]
Eriksson Lidbrink S +4 more
europepmc +1 more source
Hybrid performance in finger millet (<i>Eleusine coracana</i>) for grain yield and component traits under well-watered and drought-stress conditions. [PDF]
Gebreyohannes A +3 more
europepmc +1 more source
Phenological Development, Environmental Effects, and Selection of Soybean Lines from Crosses with Contrasting Relative Maturity Groups. [PDF]
Araujo EFB +10 more
europepmc +1 more source
A Problem-Setup-Centric Framework for Mixed-Variable Chemical Formulation Optimization with Customized Constraints. [PDF]
Zhang Y, Chen S, Gao S, Xu P, Lu W.
europepmc +1 more source
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Analysis of malaria parasite phenotypes using experimental genetic crosses of
International Journal for Parasitology, 2012Jonathan M Mwangi +1 more
exaly

