Heather L. Ciallella

CATMoS: Collaborative Acute Toxicity Modeling Suite

Kamel Mansouri, Agnes L. Karmaus, Jeremy Fitzpatrick et al. · Environmental Health Perspectives · 2021 · 129 citations · Full text

Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches

Heather L. Ciallella, Daniel P. Russo, Lauren M. Aleksunes et al. · Laboratory Investigation · 2020 · 54 citations · Full text

Systems Biology, Deep-learning Approaches, Machine Learning +11

Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network Approach

Heather L. Ciallella, Daniel P. Russo, Lauren M. Aleksunes et al. · Environmental Science & Technology · 2021 · 51 citations · Full text

Environmental Signaling, Engineering, Machine Learning +27

Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data

Heather L. Ciallella, Daniel P. Russo, Swati Sharma et al. · Environmental Science & Technology · 2022 · 39 citations · Full text

Pathology, Group Assays, Toxicological Mechanism +22

Data-Driven Quantitative Structure–Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure

Elena Chung, Daniel P. Russo, Heather L. Ciallella et al. · Environmental Science & Technology · 2023 · 36 citations · Full text

Oral Cancer, Oncology, Environmental Health +21