This project aims to reduce the time delay caused due to the unnecessary back and forth shuttling between the hospital and the pathology lab. Here a machine learning algorithm will be trained to ...

Comprehensive collection of machine learning algorithms covering Supervised and Unsupervised Learning, Artificial Neural Networks, Genetic Algorithms, Bayesian Learning, Fuzzy Logic, and Optimization ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care.

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room for improvement. A new paper by investigators from Mass General Brigham ...

A team of biomedical researchers trained a machine learning algorithm to identify more than two dozen viable treatments for diseases caused by zoonotic pathogens that can jump from animal hosts to ...

Researchers have successfully employed an algorithm to identify potential ... and PRINT, a deep-learning-based method to detect these types of footprints of DNA-protein interactions.

Weighing 3 pounds on average, this organ is responsible for your mental abilities, such as thinking, emoting, learning, and remembering. It also controls vital processes you don't have to think ...

Then genetic algorithm, grey wolf optimization algorithm and support vector machine fusion algorithm are used to predict the Network Security Service (NSS). The genetic algorithm is used to optimize ...