Unlocking Insights About Women’s Health Using the ClinicalTrials.gov API

Please join us for a fantastic PyLadies London meetup in collaboration with Elsevier!

Agenda:
6.30pm - Doors open, socialising, food and drinks offered by our sponsor
7.00pm - Talk 1: Unlocking insights about Women’s Health using the ClinicalTrials.gov API
7.30pm - Talk 2: Matching Patients to Clinical Trials Using Neo4j Vector Search
8.00pm - Socialising
8.30pm - Finish

Talks

Title: Unlocking Insights About Women’s Health Using the ClinicalTrials.gov API

Abstract: Women's Health is an evolving topic. How do we find out which clinical trials are currently being carried out globally that are related to Women's Health? ClinicalTrials.gov is a publicly available database of clinical research studies. ClinicalTrials.gov has a REST API that we can use to search and extract data. Steph will talk through how to use the API and give ideas of what we can do with the resulting data.

Title: Matching Patients to Clinical Trials Using Neo4j Vector Search

Abstract: Clinical trials are the key towards advancing drug development and evidence-based medicine, but their success is often hindered by challenges in patient recruitment. In this session, we will investigate matching patients to multiple sclerosis (MS) clinical trials using Neo4j vector search. Using python, we will walk through various steps including: 1) downloading and processing synthetic patients and recruiting MS clinical trials data, followed by 2) generating vector representations for patient and clinical trials data, then 3) building Neo4j knowledge graph and finally 4) using Neo4j vector search + ChatGPT4 for matching patients to MS clinical trials.

Speakers:

Steph Jones currently works as a Data Engineer at SciBite, Elsevier. Steph has held previous roles within the tech industry such as data scientist and data analyst. Prior to this Steph qualified as an NHS clinical pharmacist in 2012 and worked within the healthcare sector including for the industry regulator, Medicines and Healthcare products Regulatory Agency (MHRA) and for the Royal Pharmaceutical Society - British National Formulary (BNF) and Stockley’s Drug Interactions - until 2019 when she transitioned into tech. Steph has an MPharm from Liverpool John Moores University and an MSc Genomic Medicine from Imperial College London.

Maaly Nassar currently works as a Senior Data Scientist at SciBite. Maaly joined SciBite in 2022 as a senior data scientist. With a Veterinary Medicine PhD in clinical diagnosis simulations (Freie Universitaet Berlin; FUB) and a neuroscience MSc in ML and graph analytics (Humboldt Universitaet Berlin). Maaly developed and applied semantic computing applications and AI pipelines for data integration and enrichment (EBI EuropePMC and MGnify), medical diagnosis (clinical trials FUB), knowledge and drug discovery (EBI EuropePMC and MGnify, FUB), drug repurposing (SciBite).

Sponsor: This meetup is sponsored by Elsevier.
Elsevier is a global leader in information and analytics. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.