To improve breast cancer risk assessment, providers should perform genetic testing in women who aren’t at high risk of developing the disease, according to a study published in The New England...
A gene variant found in approximately one in 300 people is a significant genetic risk factor for stroke in older adults, according to a study conducted by researchers at Geisinger.
Cerebral small...
Using data analytics, a team of researchers simulated a representation of the COVID-19 pandemic in the town of New Rochelle, New York – and found that it may not be effective to prioritize...
Deep learning technology can help researchers make sense of complex DNA methylation data to understand gene expression changes in tumors, study published in Genome Biology revealed.
DNA methylation...
Throughout the COVID-19 pandemic, predictive analytics have helped healthcare organizations plan for surges in patients, allocate necessary resources, and anticipate which populations would be at...
A data analytics tool can evaluate complex gene expression information and distinguish cancer cells from normal cells in tumor samples, according to a study published in Nature...
The use of both genetic data and medical imaging could increase the accuracy of prostate cancer risk prediction, leading to more informed decision-making and proactive care, according to a study...
Properly trained deep learning models could offer better insights from brain imaging data analysis than standard machine learning approaches, according to a study published in Nature...
Artificial intelligence can analyze pre-operative MRI scans to predict patient outcomes following prostate cancer surgery, a study published in EBioMedicine.
A critical factor in managing prostate...
A team from UT Southwestern (UTSW) has found that a significant number of breast cancer patients have higher levels of the ZMYND8 gene, making it a potential target for immunotherapies and precision...
A deep learning model may be able to detect breast cancer one to two years earlier than standard clinical methods, according to a study published in Nature Medicine.
The tool also demonstrated...
ONC is currently recruiting additional demonstration sites for phase four of its Sync for Genes pilot project, an effort to standardize and improve genomic data sharing between laboratories, providers,...
The FDA has released its first artificial intelligence and machine learning action plan, a multi-step approach designed to advance the agency’s management of advanced medical software.
The...
Potential jurors may not be strongly opposed to providers’ acceptance of artificial intelligence medical recommendations, indicating that clinicians may be less liable for medical malpractice...
A new early warning system can fill in gaps in infectious disease surveillance and forecast the spread of influenza using predictive analytics, according to a study published in Nature...
Current care delivery is, for the most part, conducted on an episodic basis. Patients generally see their doctors when they don’t feel well, limiting clinicians’ ability to provide...
Researchers from the Johns Hopkins departments of oncology and pathology, the Johns Hopkins Kimmel Cancer Center, the Johns Hopkins University (JHU) School of Medicine, and 18 other organizations...
Using data from RNA sequencing, a team from the Icahn School of Medicine at Mount Sinai has detected three molecular subtypes of Alzheimer’s disease that could advance precision medicine...
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...
Genetic markers related to mineral bone accrual could help providers identify younger patients at risk of fractures in later life, according to a study published in Genome Biology.
Osteoporosis is a...
