A precision medicine approach that targeted a genetic mutation helped clinicians resolve a severe lymphatic disorder in a patient, according to a study published in EMBO Molecular Medicine.
The...
The University of Chicago Pediatric Cancer Data Commons (PCDC) is participating in new collaborative effort to leverage big data to advance pediatric cancer precision medicine.
The global initiative,...
When it comes to healthcare, it seems Americans spend more to receive less.
An aging population, expensive pharmaceuticals, and administrative waste result in sky-high medical costs, while health outcomes remain poorer than those in other...
A machine learning model was able to detect different clusters of gut bacteria that could potentially identify individuals with existing cardiovascular disease (CVD), according to a study published in...
In people with a single-gene variant that contributes to high genetic disease risk – specifically for heart disease, breast cancer, or colorectal cancer – the rest of the genome can alter...
An international trial used genetic testing and precision medicine techniques to choose antiplatelet therapies for heart disease patients, lowering the chance of heart attack or stroke by 34 percent,...
Heart failure and hypertensive heart disease deaths are increasing among black men and women despite advances in heart disease management, highlighting persistent racial disparities that should be...
A team from the Icahn School of Medicine at Mount Sinai, Emory University, and other collaborating institutions used predictive analytics models to discover a protein known as VGF, which protects the...
As the healthcare industry has increasingly aimed to deliver proactive, quality care, predictive analytics models have emerged as viable tools for improving outcomes and cutting costs.
From mapping...
The first collection of important data from the world’s largest study of cardiovascular disease prevention in people with HIV has revealed the significant chronic disease burden of this patient...
In the largest study of its kind, researchers discovered hundreds of novel genetic variants linked to type 2 diabetes, potentially improving care for millions living with this disease.
A team from the...
Building predictive models with patient data – such as history of comorbidities and medications – can determine the five- to ten-year life expectancy of older people with diabetes and help...
A new sequential approach uses machine learning to connect patients’ EHR data, including medications and diagnoses, to quantify disease risk, according to a study published in Cell...
Howard University College of Medicine’s 1867 Health Innovations Project and AARP Innovation Labs will leverage artificial intelligence and data analytics to boost chronic disease management in...
A clinical decision support system that leverages machine learning techniques could help patients control their glucose levels and enhance type 1 diabetes management, according to a study published in...
The interaction of COVID-19 and existing chronic diseases – including diabetes, obesity, and hypertension – are associated with poorer outcomes from the virus, indicating that health...
A big data model projected that without any changes in alcohol consumption or interventions to address high-risk drinking, deaths from alcohol-related liver disease will rise significantly in the US,...
A team from NYU Langone Health analyzed EHR data and found that low levels of blood oxygen and markers of inflammation were strongly associated with poor outcomes among patients...
Across the healthcare landscape, it is widely understood but rarely confessed that not all care is delivered equally.
In an ideal world – or just a fairer one – the medical industry would be able to seamlessly address an...
Researchers at the HudsonAlpha Institute for Biotechnology, the University of California, San Francisco (UCSF), and the University of Alabama at Birmingham (UAB) have uncovered a new genetic risk...