With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...
Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a ...
Abstract: This study presents an Adaptive Transfer Learning and Thresholding-based Deep Learning Model (ATL-TDLM) for automated breathing pattern recognition using thermal imaging. Unlike conventional ...
Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
The final, formatted version of the article will be published soon. Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals, based on speech patterns in examiner-patient dialogues ...
Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe. This is the ...
Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...
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