Past Seminars at the ITA


June 27, 2024

HTx Project: Advancing Health Technology Assessment Through Methods Research

Prof. Dalia Dawoud, PhD, is Associate Director (Research) at the National Institute for Health and Care Excellence (NICE)

May 14, 2024

Evaluating the cost-effectiveness of obesity prevention interventions – developing the CHOICES model methodology

Dr. Zachary J. Ward, MPH, PhD, Asst. Professor of Health Decision Science, Dept. of Health Policy & Management, Harvard T.H. Chan School of Public Health.

April 9, 2024

Dr. Brian Denton, PhD – Predictive and Prescriptive Models for Early Detection and Treatment of Metastatic Prostate Cancer

May 16, 2023

Dr. Cornelia Griggs, MD – Current Treatment of Severe Obesity in Children and Adolescents

June 14, 2022

Dr. Soroush Saghafian, PhD – Can Public Reporting Cure Healthcare?

Mar 15, 2022

Constance “Connie” Lehman, MD, PhD – Deep learning and breast cancer: AI for good

Feb 8, 2022

Dr. Hawre Jalal, MD PhD – Prominent spatiotemporal patterns of COVID-19 case incidence in the US

Nov 9, 2021

Dan Ollendorf, PhD – It’s the Prices, Stupid: Evolution of Health Technology Assessment in the U.S. and Impact on Pricing

Sept 14, 2021

Pinar Keskinocak, PhD – Modeling Infectious Diseases: Projecting Spread, Evaluating Interventions, and Resource Allocation

May 11, 2021

Ashish A. Deshmukh, PhD, MPH – Changing trajectories of HPV-associated cancers and opportunities for control

April 20, 2021

Elizabeth Burnside, MD, MPH, MS – Precision Breast Cancer Screening: An Iterative Learning Health System Intervention

March 9, 2021

Jeremy D. Goldhaber-Fiebert, PhD – COVID-19 Policy Modeling and Links to Decision Makers


January 19, 2021

Benjamin Linas, MD MPH – Simulation modeling to improve the care of opioid use disorder in the U.S

December 15, 2020

David Kim, PhD, MS – Perspective in Cost-Effectiveness Analysis: 2nd US Panel’s Deliberations and Practical Guidelines for Analysts


November 24, 2020

Ankur Pandya, PhD – A framework for responding to health-improving but cost-ineffective health care


October 20, 2020

Sana Raoof, MD, PhD – American Oncology: Our history, unmet needs, and future opportunities


September 8, 2020

Madeline Adee, MPH – Ignoring the incarcerated: how people in jails and prisons are excluded from health statistics and health services, and the impact this has on disease modeling

May 12, 2020

Jennifer M. Yeh, PhD – Early initiation of breast cancer screening in childhood cancer survivors: Insights from a collaborative modeling study

April 14, 2020

Davene R. Wright, PhD – Goldilocks and the three disciplines: crafting an interdisciplinary research agenda to improve child health

February 18, 2020

Sandra J. Lee, PhD – Collaborative Modeling for Breast Cancer Screening

January 14, 2020

Danielle Currie, PhD – Falling for the wrong ‘solution’?

December 10, 2019

Nikhil Panda, MD – Building the Digital Phenotype of Recovery after Surgery: Harnessing Smartphone Data to Improve Quality of Life Assessment

November 19, 2019

TA Trikalinos, MD, PhD – lation of computationally expensive mathematical models

October 15, 2019

Marc Larochelle, MD, MPH – Using “big data” to respond to the crisis of opioid-related harms

September 18, 2019

Sung Eun Choi, PhD – Cost-effectiveness of treating oral disease among patients with type II diabetes

May 28, 2019

Kerry Reynolds, MD – Immunotherapy: More Questions than Answers

April 9, 2019

Jamie Cohen, MPH – TBD

March 12, 2019

Ryan Nipp, MD, MPH Patient-Reported Physical and Psychological Symptom Burden among Hospitalized Patients with Cancer

February 12, 2019

Steven Lubitz, MD MPH – Atrial Fibrillation: to Screen or Not to Screen

January 2019

Laura Brattain, PhD – Machine Learning for Translational Medicine

December 2018

Florian Fintelmann, MD – Role of Body Composition Metrics in Lung Cancer Care

October 2018

Frank Wharam, MD MPH – High-deductible Insurance and Cancer Care: Early Efforts to Quantify Toxicity

February 2018

Anthony Samir, MD MPH – Ultrasound as a Quantitative Imaging Biosensor: Emerging Applications and Opportunities with a focus on Synthetic Liver Biomarkers

December 2017

Selin Merdan, PhD candidate – Predictive Analytics for Optimal Detection of Metastatic Prostate Cancer

November 2017

Sarah Mercaldo, PhD – Strategies to deal with missing predictor values when constructing, validating, and applying clinical prediction models

Nate Mercaldo, PhD – Efficient study designs for longitudinal binary data

October 2017

Vicki Fung, PhD – Opioid use among patients with serious mental illness

September 2017

Krishna Reddy, MD – Tobacco and HIV: Model-based Approaches to Study Converging Epidemics

August 2017

Kelvin Tsoi, PhD – Classification of Visit-to-Visit Blood Pressure Variability: A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT)