Research

AI can Help Patients Interpret Home Tests for COVID-19

New machine learning research led by Professor Farrokh Alemi and Professor Janusz Wojtusiak provides a way for patients and clinicians to better predict whether symptoms are due to COVID-19, influenza, or RSV. A more accurate diagnosis leads to better decisions on course of care to heal patients and prevent the disease from spreading.

AI Analysis of Cancer Mutations may Improve Therapy

Cancer has many faces - no wonder, then, that the range of cancer-causing mutations is huge as well. The totality of such genomic alterations in an individual is what experts call a "mutational landscape." These landscapes differ from one another depending on the type of cancer. And even people suffering from the same cancer often have different mutation patterns.

AI, Diabetes Experts Combine Forces for Blood Sugar Management Study

To help the estimated 1.45 million Americans living with type 1 diabetes better manage their blood sugar levels, Oregon Health & Science University is combining the power of an artificial intelligence-driven smartphone app with the support of human experts.

The Leona M. and Harry B. Helmsley Charitable Trust has awarded OHSU more than $4.3 million to support this work.

Biomedical Institutions Agree on a Set of Open Science Practices to Monitor

Eighty stakeholders from twenty major biomedical research institutions across the globe have agreed upon a list of 19 open science practices to be implemented and monitored. The study, led by Dr. Kelly Cobey, Scientist and Director of the Open Science and Meta Research Program at the University of Ottawa Heart Institute, Canada, forms the basis for the future development of institutional digital dashboards that will display that institution's compliance with open science practices.

A Blood Test for Cancer Shows Promise Thanks to Machine Learning

A team of researchers at the University of Wisconsin-Madison has successfully combined genomics with machine learning in the quest to develop accessible tests that allow earlier detection of cancer.

For many types of cancer, early detection can lead to better outcomes for patients. While scientists are developing new blood tests that analyze DNA to aid in earlier detection, these new technologies have limitations, including cost and sensitivity.

For Shared Decision-Making, Telemedicine may be as Effective as in-Person Appointments

Telemedicine may be just as effective as in-person visits when it comes to shared decision-making and communication for patients undergoing a first-time surgery consultation, according to a study published as an "article in press" in the Journal of the American College of Surgeons (JACS) and presented at the Southern Surgical Association 134th Annual Meeting in December 2022.

AI Tool Developed to Predict Risk of Lung Cancer

Lung cancer is the leading cause of cancer death in the United States and around the world. Low-dose chest computed tomography (LDCT) is recommended to screen people between 50 and 80 years of age with a significant history of smoking, or who currently smoke. Lung cancer screening with LDCT has been shown to reduce death from lung cancer by up to 24 percent.

Research News

AI can Help Patients Interpret Home Tests for COVID-19

AI Analysis of Cancer Mutations may Improve Therapy

AI, Diabetes Experts Combine Forces for Blood Sugar Management Study

Biomedical Institutions Agree on a Set of Open Science Practices to Monitor

A Blood Test for Cancer Shows Promise Thanks to Machine Learning

For Shared Decision-Making, Telemedicine may be as Effective as in-Person Appointments

AI Tool Developed to Predict Risk of Lung Cancer

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