Effective exchange of information in doctor-patient conversations is critical for building trust and compliance with medical advice. In our past work, we have explored how patterns of information flow practices within doctor-patient interactions predict self-reported measures of trust from patients. Now we are building on extensive work modeling consensus-building practices in conversational interactions to work towards a conversational mea
Infectious disease modelers depend on real-world data to create model estimates of infectious disease transmission and control interventions. Modelers often collect data from multiple sources, such as population demographics, disease surveillance, vaccination programs, etc. and integrate data into one model to inform health policy.
DBMI’s Research Informatics Office (RIO, see https://www.rio.pitt.edu/projects
In this talk I will first discuss the state of computing technology and the fast pace of change due to Moore's law, and set this into context of the time scale of other computing developments like algorithms and computer languages. I will show the impact on solvable computing problems at various computing scales.
Cancer is mainly caused by somatic genome alterations that perturb cellular signaling pathways, and it is anticipated that precisely targeting patient-specific genomic alterations of individual tumors (precision oncology) will lead to more effective therapies.