Archive | Uncategorized

RSS feed for this section

Innovation Grand Rounds: Using NLP to harness exposome factors that impact cancer

I am looking forward to giving a talk tomorrow (Fri Oct 14,12-1) at the MSB Auditorium (Room 274) Healthy People 2030 and the All of Us Program demonstrate how human health is influenced by factors beyond direct patient/physician interactions, sometimes referred to as the exposome. A prime example is the increasing number of chemicals humans […]

Comments are closed

Keynote: The case for Quality over Quantity

I will be presenting at the Health Science Librarians of Illinois (HSLI) Annual Conference on September 8 (https://hsli.org/conference/). Evidence-based Librarianship and the Case for Quality over Quantity Librarians have long played a critical role in teams that conduct systematic reviews. They partner with investigators to carefully construct search strategies that ensure all relevant studies are […]

Comments are closed

automated risk assessment talk at George Washington University

I am looking forward to talking with folks from the Biomedical Informatics Center at George Washington University next week about “Using semantics to scale up evidence-based chemical risk-assessments and the implications to cancer research.” Current methods used to conduct chemical risk assessments do not scale to recent regulatory changes such as the European Union’s REACH […]

Comments are closed

Using semantics to scale up evidence-based chemical risk-assessments

Just wanted to share our new paper, which uses explicit and observational claims from the Claim Framework to scale up evidence-based chemical risk-assessments, was just published https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260712.  This work was conducted with Jodi Flaws .

Comments are closed

New paper at ASIS&T

Don Keefer presented our paper entitled The Reproducible Data Reuse (ReDaR) Framework to Capture and Assess Multiple Data Streams at ASIS&T last week (see the full paper here)

Comments are closed