Concerto’s Chief Scientific Officer, Mark S. Walker, PhD, discusses findings from a study that compared a measure of PFS based on curation of unstructured EMR data, including direct observation of disease progression, with proxy measures of PFS that were not supported with curation.
Watch NowKrishna Swaminathan, Principal AI Scientist, worked with other Concerto researchers and presents findings from the development of deep learning algorithms that can accurately impute metastatic status and site of metastasis from unstructured notes using NL
Watch NowSenior Machine Learning Engineer, Francois Charest, PhD, explains findings from a novel predictive AI model that was developed by Concerto engineers focused on “exceptional responders” and predicting slow progression in NSCLC patients.
Watch NowMachine Learning models that can dynamically predict risk of metastatic breast cancer (mBC) based on cumulative historical clinical data could help guide patient care and monitoring decisions. In this study, Vivek Vaidya, Senior Principal Scientist, shares results of analyses into an ML model that sought to predict risk of recurrence at any point in the patient journey.
Watch NowSmita Agrawal, PhD and Senior Director of Product Development, considers findings from a machine learning model to identify NSCLC patients from a heterogeneous cohort of lung cancer patients using Concerto’s vast real-world database of structured Electronic Medical Records (EMR) data.
Watch NowClinical Data Scientist Sam Heilbroner, MD, reviews findings from a research abstract that used a machine learning approach to predict cardiac events in lung cancer patients.
Watch NowVivek Vaidya, Senior Principal Scientist, examines findings from a machine learning model built on structured data to impute ECOG scores using information from different points in the patient journey. ECOG Performance Scores are a strong prognostic indicator of outcomes. They are frequently unavailable in real-world settings but required for clinical trials.
Watch NowJoanne Buzaglo, PhD and Executive Director of ConcertAI’s Patient Reported Outcomes (PRO) Solutions, discusses the effectiveness of using an electronic PRO system to facilitate compliance to required metric reporting and greater clinical efficiencies.
Watch NowOur scientific teams are available to discuss our research methodologies and publications strategy