Frontiers

A hybrid elastic-hyperelastic approach for simulating soft tactile sensors

Efficient robotic grasping increasingly relies on artificial intelligence (AI) and tactile sensing technologies, which necessitate the acquisition of substantial data—a task that can often prove ...
C&EN

Can Deep Learning Blind Docking Methods be Used to Predict Allosteric Compounds?

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Allosteric compounds offer an alternative mode of inhibition to orthosteric compounds ...
The Lancet

Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT

aData Science Institute, University of British Columbia, Vancouver, BC, Canada bDepartment of Radiology, University of British Columbia, Vancouver, BC, Canada cDepartment of Medicine, University of ...
Frontiers

ChestBioX-Gen: contextual biomedical report generation from chest X-ray images using BioGPT and co-attention mechanism

Efficient and accurate radiology reporting is critical in modern healthcare for timely diagnosis and patient care. In this paper, we present a novel deep learning approach that leverages BioGPT and co ...
PNAS

The Burmese python genome reveals the molecular basis for extreme adaptation in snakes

The molecular basis of morphological and physiological adaptations in snakes is largely unknown. Here, we study these phenotypes using the genome of the Burmese python (Python molurus bivittatus), a ...