New Grant – Improving Understanding of Genetic and Clinical Risk of Suicidality with Natural Language Processing and Probabilistic Phenotyping

We are delighted to announce a new R01 from the NIMH to the lab of my co-Principal Investigator, Dr. Douglas Ruderfer, and my lab to fund research into better understanding clinical and genetic factors of risk of suicidal ideation (suicidal thoughts) and suicide attempts. We partner with Dr. Adi Bejan at Vanderbilt, an expert in…

NIH/NCATS Machine Intelligence Workshop, July 12, 2019

The National Institutes of Health/National Center for Advancing Translational Sciences hosted a terrific Machine Intelligence Workshop on July 12, 2019. Dr. Walsh participated in the second panel on "Explainability" of Machine Intelligence. He presented "The Importance of Algorithmic Explainability in Behavioral Health". It's been a busy summer and wonderful to see the commitment from NIH…

New paper: Predicting Imminent Suicidal Thoughts and Nonfatal Attempts – The Role of Complexity

New paper on predicting imminent risk of suicidal behaviors led by Jessica Ribeiro in Clinical Psychological Science. Here's the abstract:   Abstract For decades, our ability to predict suicidal thoughts and behaviors (STBs) has been at near-chance levels. The objective of this study was to advance prediction by addressing two major methodological constraints pervasive in…