Emergence comprises some 100 experts, serving as speakers, advisors or mentors, that guide how to identify societal needs and carry out the entrepreneurial process.
Category: Data Sciences
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.
Supporting Arab American students, community at Stanford Medicine
To better understand health issues for Arab Americans, the Arab Leadership and Advocacy in Medicine group advocates for representation.
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.
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.