The incorporation of machine learning in clinical trials could improve research of effective drug treatments in the brain. It could also provide information on drug side-effects previously missed by conventional statistical tests, according to a study published in Brain.

The CRISPR gene-editing tool could be used to better understand addiction and possibly develop methods of “addiction- proofing” the brain, according to research presented at Neuroscience 2017.

A mobile application assisting patients with macular degeneration or diabetic retinopathy in testing their vision is just as accurate in providing results as in-person office visits, according to a study presented at the 121st Annual Meeting of the American Academy of Ophthalmology.

Researchers from the University of Pennsylvania believe reviewing the social media of patients with attention-deficit/hyperactivity disorder (ADHD) could lead to the formation of improved treatments. Findings were published in the Journal of Attention Disorders.

The HHS Office of the National Coordinator for Health Information Technology (ONC) has announced the winners of its Patient Matching Algorithm Challenge.

Researchers at the Icahn School of Medicine at Mount Sinai have developed a mathematical model capable of predicting how cancer patients will react to certain immunotherapies. Findings are explained in a study published in Nature.

The TelePsy eHealth platform provides mental health professionals and general practitioners with digital tools to support them in the diagnostics, evaluation and treatment of their service users. Thanks to an integration with the secure Alterdesk Messenger, TelePsy can now offer its users chat and video call functionalities. “It is one of the biggest functional updates we have had in years”, says Marco Essed, CEO of TelePsy.

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