50 citations
- Novartis (Switzerland)CH4 papers
- Tris Pharma (United States)US2 papers
- Abterra Biosciences (United States)US1 paper
- Accenture (Switzerland)CH1 paper
- AGRF LtdAU1 paper
- Argonne National LaboratoryUS1 paper
- Carnegie Mellon UniversityUS1 paper
- CEA GrenobleFR1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
- Charles Humbert 8CH1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Constellium (United Kingdom)GB1 paper
8 papers
Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
Konstantinos Sechidis, Cong Zhang, Sophie Sun +3
Assessing treatment effect heterogeneity (TEH) in clinical trials is crucial, as it provides insights into the variability of treatment responses among patients, influencing import…
WATCH: A Workflow to Assess Treatment Effect Heterogeneity in Drug Development for Clinical Trial Sponsors
Konstantinos Sechidis, Sophie Sun, Yao Chen +8
This paper proposes a Workflow for Assessing Treatment effeCt Heterogeneity (WATCH) in clinical drug development targeted at clinical trial sponsors. WATCH is designed to address t…
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
Hanxi Sun, Jason Plawinski, Sajanth Subramaniam +7
Sharing data from clinical studies can facilitate innovative data-driven research and ultimately lead to better public health. However, sharing biomedical data can put sensitive pe…
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
Xiong Liu, Luca A. Finelli, Greg L. Hersch +1
COVID-19 clinical trial design is a critical task in developing therapeutics for the prevention and treatment of COVID-19. In this study, we apply a deep learning approach to extra…
Inferring Causal Direction from Observational Data: A Complexity Approach
Nikolaos Nikolaou, Konstantinos Sechidis
At the heart of causal structure learning from observational data lies a deceivingly simple question: given two statistically dependent random variables, which one has a causal eff…
ChemoVerse: Manifold traversal of latent spaces for novel molecule discovery
Harshdeep Singh, Nicholas McCarthy, Qurrat Ul Ain +1
In order to design a more potent and effective chemical entity, it is essential to identify molecular structures with the desired chemical properties. Recent advances in generative…