AIMC Topic: Humans

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Predicting FFAR4 agonists using structure-based machine learning approach based on molecular fingerprints.

Scientific reports
Free Fatty Acid Receptor 4 (FFAR4), a G-protein-coupled receptor, is responsible for triggering intracellular signaling pathways that regulate various physiological processes. FFAR4 agonists are associated with enhancing insulin release and mitigatin...

Why animals can outrun robots.

Science robotics
Animals are much better at running than robots. The difference in performance arises in the important dimensions of agility, range, and robustness. To understand the underlying causes for this performance gap, we compare natural and artificial techno...

Grasping objects with the aid of haptics.

Science robotics
A smart suction cup uses haptics to supplement vision for exploration of objects in a grasping task.

Legged robots beyond bioinspiration.

Science robotics
Advances in engineering enable wheeled-legged hybrid locomotion, an achievement not feasible in biological systems.

A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study.

JMIR public health and surveillance
BACKGROUND: Sexual health influencers (SHIs) are individuals actively sharing sexual health information with their peers, and they play an important role in promoting HIV care services, including the secondary distribution of HIV self-testing (SD-HIV...

Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization.

Scientific reports
Skin Cancer is caused due to the mutational differences in epidermis hormones and patch appearances. Many studies are focused on the design and development of effective approaches in diagnosis and categorization of skin cancer. The decisions are made...

Joint reconstruction and segmentation in undersampled 3D knee MRI combining shape knowledge and deep learning.

Physics in medicine and biology
Task-adapted image reconstruction methods using end-to-end trainable neural networks (NNs) have been proposed to optimize reconstruction for subsequent processing tasks, such as segmentation. However, their training typically requires considerable ha...

Machine learning models reveal distinct disease subgroups and improve diagnostic and prognostic accuracy for individuals with pathogenic SCN8A gain-of-function variants.

Biology open
Distinguishing clinical subgroups for patients suffering with diseases characterized by a wide phenotypic spectrum is essential for developing precision therapies. Patients with gain-of-function (GOF) variants in the SCN8A gene exhibit substantial cl...

Accuracy of a chatbot in answering questions that patients should ask before taking a new medication.

Journal of the American Pharmacists Association : JAPhA
BACKGROUND: The potential uses of artificial intelligence have extended into the fields of health care delivery and education. However, challenges are associated with introducing innovative technologies into health care, particularly with respect to ...