A few closely related drugs, all squarely aimed at treating Alzheimer’s disease, have served up what can be charitably described as a lackadaisical performance. Stanford Medicine neurologist Mike Greicius explains why these drugs, so promising in theory, don’t appear to be helping patients much if at all.
Category: Data Sciences
Researchers dial in on genetic culprit of disease
Genome-wide association studies can lay the groundwork to more precisely assess a person’s risk for disease, detect diseases earlier, reveal a molecular understanding of how certain illnesses arise, and point to new therapeutic targets.
How the death of his wife drives data scientist to improve the system
In his grief over losing his wife, Amir Bahmani realized how much data science could impact medicine and potentially save lives.
New cardiovascular risk calculator includes social determinants of health, excludes race
Many social determinants of health can influence a patient’s risk, but Palaniappan and fellow researchers have noticed, from working with data from patients around the nation, that race is not among the most accurate or equitable.
Researchers seek healthy checks and balances for how products are designed
With such conveniences as digital devices at our fingertips comes a messy health conundrum, say Stanford Medicine researchers.
How digital tools are heading off alcohol-related health problems
Two of Brian Suffoletto's close friends died in an alcohol-related car accident when he was in college. It helped focus his path in medicine.
Emergence program provides socially conscious entrepreneurs an on-campus incubator
Emergence comprises some 100 experts, serving as speakers, advisors or mentors, that guide how to identify societal needs and carry out the entrepreneurial process.
The time ‘is now, in the beginning’: How do we ensure AI tools aren’t biased?
New artificial intelligence tools have the potential to revolutionize health care. But Stanford researchers argue that disparities could worsen without intervention now.
AI, medicine and race: Why ending ‘structural racism’ in health care now is crucial
Health care providers must reckon with inherent race-based biases in medicine, which can reinforce false stereotypes in algorithms and lead to improper treatment recommendations or late diagnoses.
Blood condition linked to protection against Alzheimer’s
Researchers at Stanford Medicine explore a potentially causative connection between a blood disorder and Alzheimer's.
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.
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.