Deep learning for drug repurposing: Methods, databases, and applications
Drug development is time‐consuming and expensive. Repurposing existing drugs for new
therapies is an attractive solution that accelerates drug development at reduced …
therapies is an attractive solution that accelerates drug development at reduced …
Harnessing big data to advance treatment and understanding of pulmonary hypertension
Pulmonary hypertension is a complex disease with multiple causes, corresponding to
phenotypic heterogeneity and variable therapeutic responses. Advancing understanding of …
phenotypic heterogeneity and variable therapeutic responses. Advancing understanding of …
ConSIG: consistent discovery of molecular signature from OMIC data
The discovery of proper molecular signature from OMIC data is indispensable for
determining biological state, physiological condition, disease etiology, and therapeutic …
determining biological state, physiological condition, disease etiology, and therapeutic …
Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease
The high failure rate of clinical trials in Alzheimer's disease (AD) and AD-related dementia
(ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit …
(ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit …
Cardio oncology: digital innovations, precision medicine and health equity
D Sadler, T Okwuosa, AJ Teske, A Guha… - Frontiers in …, 2022 - frontiersin.org
The rapid emergence of cardio-oncology has resulted in a rapid growth of cardio-oncology
programs, dedicated professional societies sections and committees, and multiple …
programs, dedicated professional societies sections and committees, and multiple …
Elevated pulmonary arterial compliance is associated with survival in pulmonary hypertension: results from a novel network medicine analysis
RS Wang, S Huang, SW Waldo, E Hess… - American Journal of …, 2023 - atsjournals.org
Rationale: Predictors of adverse outcome in pulmonary hypertension (PH) are well
established; however, data that inform survival are lacking. Objectives: We aim to identify …
established; however, data that inform survival are lacking. Objectives: We aim to identify …
A Methodological framework to Integrate AGI into Personalized Healthcare
S Alam - Quarterly Journal of Computational Technologies for …, 2022 - vectoral.org
The integration of artificial general intelligence (AGI) into personalized healthcare
represents a transformative approach to modernizing medical services, offering …
represents a transformative approach to modernizing medical services, offering …
[HTML][HTML] Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity
SA Brown, R Sparapani, K Osinski, J Zhang… - American heart journal …, 2022 - Elsevier
Study objective A multi-institutional interdisciplinary team was created to develop a research
group focused on leveraging artificial intelligence and informatics for cardio-oncology …
group focused on leveraging artificial intelligence and informatics for cardio-oncology …
[HTML][HTML] Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography
DSL Martinez, PA Noseworthy, O Akbilgic… - American heart journal …, 2022 - Elsevier
Cardiovascular disease is a leading cause of death among cancer survivors, second only to
cancer recurrence or development of new tumors. Cardio-oncology has therefore emerged …
cancer recurrence or development of new tumors. Cardio-oncology has therefore emerged …
Prediction and risk stratification of cardiovascular disease in diabetic kidney disease patients
J Ren, D Liu, G Li, J Duan, J Dong… - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Background Diabetic kidney disease (DKD) patients are facing an extremely high risk of
cardiovascular disease (CVD), which is a major cause of death for DKD patients. We aimed …
cardiovascular disease (CVD), which is a major cause of death for DKD patients. We aimed …