Baylor College of Medicine researchers have discovered a genetic signature that can predict poor patient outcomes in estrogen-receptor positive (ER+) breast cancer, potentially leading to personalized...
University of California researchers are studying how to advance personalized treatment for patients with HPV-associated oropharyngeal cancer. The research led by Robert Chin, MD, PhD, a radiation...
To develop personalized treatment solutions for patients with breast cancer, UC San Diego Health received a $2.1-million gift to launch a comprehensive breast cancer database.
Philanthropists Richard...
Using predictive analytics, a genetic biomarker test can determine how men with high-risk prostate cancer will respond to treatment and deliver more personalized medicine.
In the study, researchers...
To better understand ventricular arrhythmias, Johns Hopkins University researchers are studying the use of whole-heart computational models. Whole-heart computational modeling can lead to personalized...
UT Southwestern Medical Center and the University of Texas MD Anderson Cancer Center researchers developed an artificial intelligence method to determine anti-cancer immunity.
According to...
Cleveland Clinic researchers collaborated with Owkin to develop and validate a deep learning model to predict survival and outcomes for hepatocellular carcinoma (HCC) patients after liver...
As providers strive to improve patient outcomes, the use of machine learning has become more integrated into the healthcare system. As this new form of technology continues to expand, it’s...
Sanford Burnham Prebys Medical Discovery Institute scientists discovered that the protein RNF5 plays an unusual role in acute myeloid leukemia (AML). By targeting the specific protein, researchers...
Due to genetics, not every patient responds the same to medications. With genetic testing, providers can better determine the best treatment options for individuals, advancing precision...
Using predictive and data analytics, Brigham and Women’s Hospital researchers developed a resource to better understand the cognitive decline in individuals due to Alzheimer’s disease...
University of Pittsburg researchers used a data analytics algorithm to algorithmically cluster individuals with chronic pain by pain distribution, paving the way for better more personalized medicine....
In collaboration with the University of California, San Francisco (UCSF) and the San Francisco Veteran Affairs (VA) Health Care System, the Prostate Cancer Foundation will launch the Drew...
A new database could help researchers explore the complex nature of saliva, potentially advancing precision medicine, according to a study published in the Journal of Dental Research.
The Human...
To effectively treat a disease as complex as cancer, the healthcare industry has recognized the need to tailor therapeutic approaches to individual patients – a method commonly known as precision...
Using deep learning, radiologists could more accurately evaluate lung cancer types on CT scans and improve treatment plans, according to a study published in the Journal of Medical Imaging.
The...
The Pancreatic Cancer Action Network (PanCAN) has launched Precision Promise, a precision medicine clinical trial that will aim to improve pancreatic cancer drugs.
Moores Cancer Center at UC San Diego...
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...
A new blood test may reveal the biological basis of mood disorders and offer precision medicine approaches to treatment, according to a study published in Molecular Psychiatry.
Mood disorders affect...
Limited diversity in genomic datasets may affect therapy selection and cancer outcomes for black patients, a study published in npj Precision Oncology revealed.
Researchers noted that clinicians use...
