Articles by: Geisel Communications

De-escalating Therapy for HPV-Associated Oropharynx Squamous Cell Carcinoma – Medscape

Read article – Philip Schaner, an associate professor of medicine, is quoted in an article about de-escalating treatment for HPV-associated oropharynx squamous cell carcinoma. “The optimal combination of de-intensification of radiation dose with or without systemic therapy, and the extent to which treatment attenuation can be safely diminished for different pathologic risk factors, remains unclear,” Schaner said.

Bacteroides Gut Bacteria May Ease Inflammation in CF Lungs – Cystic Fibrosis News Today

Read article – George O’Toole, a professor of microbiology and immunology and an adjunct professor of biological sciences, is featured in an article about his research into how bacteroides in the gut bacteria may ease symptoms for cystic fibrosis patients. “We think this establishes the idea that changes in the gut are causing a reprogramming of the immune system in such a way that the body isn’t as sensitive to subsequent airway infections, so you don’t have as much disease burden,” O’Toole said.

At-Home Medical Tests: Are They Right for You? – WebMD

Read article – Brooke Judd, an assistant professor of medicine and psychiatry, is quoted in an article about at-home medical tests. “Although these devices report a number of metrics, including sleep time, sleep stages, and blood oxygen levels, it is important to understand that the algorithms for these metrics change quickly, and are still only providing estimates rather than accurate values,” Judd said.

Aligning Accountable Care Models With The Goal Of Improving Population Health – Health Affairs

Read article – Elliott Fisher, a professor of health policy, medicine, and community and family medicine, co-authors an article about solving the crisis in premature mortality in the U.S. A complete transition to global payment models, combined with a shift to population health-focused performance measures, should be used to encourage healthcare organizations to play a leadership role in improving health and eliminating health inequities,” Fisher writes.

Millions of Americans Will Soon Lose Internet Access. That’s a Disaster for Rural Health – Mother Jones

Read article – Lisa V. Adams, associate dean for global health and a professor of medicine, community and family medicine, and epidemiology, is featured in an article about how the Affordable Connectivity Program is coming to an end and how it will impact the health of rural communities. “We tell patients all the time that the (patient) portal is the most secure means for sharing health information,” Adams said, “but you need to have reasonable internet access to use it.”

Microsoft’s Stake in Buzzy AI Lab Mistral Is Raising Eyebrows in the EU – Fast Company

Read article – Nicholas Jacobson, an assistant professor of biomedical data science and psychiatry, is quoted in a newsletter about the latest news in AI. Dartmouth researchers created an app, MoodCapture, that can identify cues associated with depression. “We think that MoodCapture opens the door to assessment tools that would help detect depression in the moments before it gets worse,” Jacobson said.

New App Can Detect Depression Before Symptoms Show Simply by Looking at Your Face When You Unlock Your Phone – The US Sun

Read article – Andrew Campbell, a professor of computer science; Nicholas Jacobson, an assistant professor of biomedical data science and psychiatry; and Subigya Nepal, Guarini, are featured in an article about their newly developed app that uses AI to detect signs of depression in the user’s face. “Our goal is to capture the changes in symptoms that people with depression experience in their daily lives,” Jacobson said.

The MoodCapture App May See That You’re Depressed Before You Do – The Daily Beast

Read article – Features Andrew Campbell, a professor of computer science, in an article about his co-authored study wherein he, alongside Arvind Pilla, Guarini; Subigya Nepal, Guarini; and Nicholas Jacobson, an assistant professor of biomedical data science and psychiatry, developed an app powered by AI to detect signs of depression using cell phone facial recognition software. “The model focuses on a myriad of facial features, including expressions stemming from muscle activations, eye gaze, head pose, and the 2D/3D locations of various face landmarks such as lips and eyes,” Campbell said. “AI is used to derive meaningful insights from each image, including factors like lighting conditions, the number of people in the image, dominant colors, photo location, and background objects.” (Picked up by Yahoo! News.)