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Nanoparticle Approaches For The Renin-Angiotensin System, Sajini D. Hettiarachchi, Young M. Kwon, Yadollah Omidi, Robert C. Speth

HPD Articles

The renin-angiotensin system (RAS) is a hormonal cascade that contributes to several disorders: systemic hypertension, heart failure, kidney disease, and neurodegenerative disease. Activation of the RAS can promote inflammation and fibrosis. Drugs that target the RAS can be classified into 3 categories, AT1 angiotensin receptor blockers (ARBs), angiotensin-converting enzyme (ACE) inhibitors, and renin inhibitors. The therapeutic efficacy of current RAS-inhibiting drugs is limited by poor penetration across the blood-brain barrier, low bioavailability, and to some extent, short half-lives. Nanoparticle-mediated drug delivery systems (DDSs) are possible emerging alternatives to overcome such limitations. Nanoparticles are ideally 1-100 nm in size and are …

Artificial Intelligence Modelling To Assess The Risk Of Cardiovascular Disease In Oncology Patients., Samer S Al-Droubi, Eiman Jahangir, Karl M Kochendorfer, Marianna Krive, Michal Laufer-Perl, Dan Gilon, Tochukwu M Okwuosa, Christopher P Gans, Joshua H Arnold, Shakthi T Bhaskar, Hesham A Yasin, Jacob Krive

HPD Articles

AIMS: There are no comprehensive machine learning (ML) tools used by oncologists to assist with risk identification and referrals to cardio-oncology. This study applies ML algorithms to identify oncology patients at risk for cardiovascular disease for referrals to cardio-oncology and to generate risk scores to support quality of care.

METHODS AND RESULTS: De-identified patient data were obtained from Vanderbilt University Medical Center. Patients with breast, kidney, and B-cell lymphoma cancers were targeted. Additionally, the study included patients who received immunotherapy drugs for treatment of melanoma, lung cancer, or kidney cancer. Random forest (RF) and artificial neural network (ANN) ML models …