Microsoft has partnered with and invested in US-based Adaptive Biotechnologies to map the human immune system genetics using artificial intelligence (AI) for early detection and diagnosis of multiple diseases, including cancer.
The risk of dying from scheduled surgery in Africa is more than double the global average, researchers said on Wednesday, in a study shedding light on one of the continent's biggest but poorly investigated healthcare problems.
Researchers have developed a new way to magnetise molecules found naturally in the human body, paving the way for a new generation of low-cost magnetic resonance imaging (MRI) technology that would transform our ability to diagnose and treat diseases including cancer, diabetes and dementia.
BioNTech has raised $270 million (€224 million). The series A round positions the German biotech to mount a multifront attack on cancer, spearheaded by mRNA therapies and supported by a clutch of other modalities including CAR-T cells.
UT Southwestern Medical Center researchers have used precision editing of the bacterial populations in the gut to prevent or reduce the severity of inflammation in a mouse model of colitis.
Smaller, smarter, more efficient and prettier…. Wearables are becoming increasingly more popular. Where first only sport fanatics and early tech adopters were interested, we now see that the high tech wearable devices become more common and accepted.
A study released in October 2017 found EHR (electronic health records) use has been listed as a contributing factor to patient injury at an increased rate over the past decade. Poorly-designed EHR systems combined with human error have resulted in patient safety problems in an increasing number of malpractice claims from 2007-2016.
Binghampton University researchers report sleeping less than 8 hours a night can result in negative, repetitive thoughts associated with anxiety and depression.
Sangamo Therapeutics Inc and Pfizer Inc said on Wednesday they would work together to develop a gene therapy to treat ALS
The health system has developed AI-based algorithms used on its more than 27 petabytes of data to define patient subpopulations — those with congestive heart failure or asthma, for instance — to target interventions to those groups. It’s developed algorithms using electronic health record data to predict patient decline in hospitals.
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