Researchers at Stanford Medicine explore a potentially causative connection between a blood disorder and Alzheimer's.
Category: Data Sciences
Unconventional Paths: Merging computation and biology
Purvesh Khatri has followed a winding path to medicine -- one that started with a hate for biology and a career in engineering.
Stanford Medicine magazine: Solving for health’s social hurdles
Achieving more equitable health outcomes calls for understanding and addressing societal challenges in places we live, work and play.
Researchers create guide for fair and equitable AI in health care
Researchers at Stanford Medicine are putting together a guide for principled implementation of artificial intelligence in health care.
Finding patterns of success across 50 years of innovation
Researchers conducted a study to look back at 50 years of innovation, tracking how trends in technology have changed.
Training physicians and algorithms in dermatology diversity
Researchers are addressing bias in algorithms that detect dermatology diseases by adding more diverse skin tone images to data sets.
Data science could help tailor cancer therapy
Researchers are using data science to home in on therapies that will work best for specific patients, advancing precision oncology.
Using AI to find disease-causing genes
Researchers are using a new artificial intelligence-based program to help identify genes that underly diseases.
Bringing principles of ethics to AI and drug design
Researchers discuss the need for ethics and its integration into research projects that harness artificial intelligence.
Pandemic Puzzle: The role of data in the pandemic
Stanford Medicine biomedical data scientist weighs in on the role of data as we respond to the pandemic and prepare for the future.
Stabilizing RNA molecules to strengthen vaccines — including for COVID-19
Stanford Medicine researchers have found a new way to stabilize mRNA molecules, something that could boost COVID vaccines.
What COVID-19 has taught us about clinical trials
Stanford Medicine researcher John Ioannidis calls for transparency and the sharing of data, a lesson learned through COVID-19.
AI tool created to guide colorectal cancer care with more precision
Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
Stanford physician-programmer creates Coders Against COVID
A Stanford anesthesiologist co-founded a volunteer organization that maps COVID-19 testing locations and displays updated data about the pandemic.
“Instagram-like filter” labels molecular details in tumor images
Scientists created an algorithm that analyzes a cancer biopsy and pairs spatial information with gene expression to better understand the disease.
AI predicts effective depression treatment based on brainwave patterns
Tracking brainwave patterns and symptoms in patients with depression, researchers used artificial intelligence to predict best treatment options.