Latest AI and machine learning research in primary care for healthcare professionals.
The digital health industry is experiencing fast-paced research which can provide digital care progr...
BACKGROUND: Pulmonary hypertension (PH) is life-threatening, and often diagnosed late in its course....
High throughput screening methods have driven a paradigm shift in biopharmaceutical development by r...
OBJECTIVE: For the patients who are suffering from type 2 diabetes, blood glucose level could be aff...
Recently, deep learning using convolutional neural networks (CNNs) has yielded consistent results in...
According to the Indian health line report, 12% of the population suffer from abnormal thyroid funct...
BACKGROUND: Artificial intelligence breast ultrasound diagnostic system (AIBUS) has been introduced ...
Chest X-rays are the most economically viable diagnostic imaging test for active pulmonary tuberculo...
Machine Learning is a powerful tool to discover hidden information and relationships in various data...
Plastic pollution in water bodies is an unresolved environmental issue that damages all aquatic envi...
OBJECTIVE: To determine whether nailfold capillary images, acquired using video capillaroscopy, can ...
Obesity and overweight has increased in the last year and has become a pandemic disease, the result ...
BACKGROUND: Osteoporosis is one of the diseases that requires early screening and detection for its ...
BACKGROUND: The Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) study demonstrated co...
OBJECTIVES: To externally validate the performance of a commercial AI software program for interpret...
Practical human biofluid sensing requires a sensor device to differentiate patients from the normal ...
Modern drug discovery approaches often use high-content imaging to systematically study the effect o...
BACKGROUND: Due to intrinsic differences in data formatting, data structure, and underlying semantic...
Although drugs have been reported to modulate the gut microbiota, the effects of anti-obesity drugs ...
The application of multiple omics technologies in biomedical cohorts has the potential to reveal pat...
Context: Patients over the age of 65 years are more likely to experience higher severity and mortali...