In just over a year, nearly every part of the medical industry has been ushered into a new era of care delivery.
Upended by a crisis, the healthcare sector has had to quickly find new ways of safely providing quality care to patients. For...
While the healthcare industry has leveraged precision medicine approaches in areas ranging from cancer to Alzheimer’s disease, recently researchers have focused on the potential for targeted...
After applying machine learning to EHR data, researchers found that dropping out of high school, having schizophrenia, or being diagnosed with a co-occurring personality disorder increases the...
Using predictive analytics algorithms, a universal screening tool can accurately determine an adolescent’s suicide risk and alert providers of which patients are in need of follow-up...
Data from sites like Facebook and Twitter can reveal a lot about someone’s behavioral health. Past studies have shown that social media activity can predict a person’s demographic...
An explainable artificial intelligence platform that analyzes data captured during in-person consultations may enhance diagnosis and treatment of adverse childhood experiences (ACEs), according to a...
A sensor powered by machine learning can accurately detect serotonin at different levels in the brain while having little or no reaction to other neurotransmitters or similarly shaped drugs, according...
Medical imaging techniques helped researchers discover a brain biomarker that may increase a person’s risk of developing post-traumatic stress disorder (PTSD) after a traumatic brain injury,...
While cancer obviously takes a momentous physical toll on the body, the disease can have dire effects on a person’s mental health as well – a trend that has only grown more common with the...
Right now, there are more than 46 million adults age 65 and older living in the US. By 2050, that number is expected to grow to almost 90 million.
This means that in just ten years, one in five Americans is projected to be 65 or...
Using machine learning, researchers were able to cut six of the 20 questions used to diagnose post-traumatic stress disorder (PTSD) while still maintaining accuracy in a veteran population, according...
Across the country today, it is widely acknowledged that access to mental healthcare is just as important as clinical care when it comes to overall wellness.
Mental health conditions are incredibly...
An innovative imaging analytics method helped researchers categorize subgroups of schizophrenia patients using functional magnetic resonance imaging (fMRI) data, according to a study published in...
In the largest-ever whole genome sequencing study of schizophrenia, researchers discovered that rare structural genetic variants could play a role in the development of the disorder.
The findings...
NIH is renewing its commitment to the Adolescent Brain Cognitive Development (ABCD) study for an additional seven years, allowing researchers to expand big data resources on brain development and child...
Researchers from Penn Medicine leveraged machine learning techniques to identify the size and shape of brain networks in children, which could lead to improved understanding and more personalized...
Artificial intelligence tools may be able to help providers objectively diagnose and prescribe depression treatments based on analyses of brain activity, according to a study published in Nature...
Researchers at the University of Tennessee, Knoxville, have developed a predictive analytics algorithm that can identify future at-risk patients who have undergone hernia surgery, helping providers to...
People who presented to the emergency department (ED) with deliberate self-harm had suicide rate in the year after their visit that was 56.8 times higher than demographically similar individuals,...
Machine learning can help primary care providers easily identify patients who could benefit from more in-depth treatment of mental health. Regenstrief Institute and Indiana University partnered to...
