activity
20202026
most citedProspective Prediction of Future SARS-CoV-2 Infections Using Empirical Data on a National Level to Gauge Response Effectiveness

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

friends.test: rank-based method for feature selection in interaction matrices

Alexandra Suvorikova, Alexey Kroshnin, Dmirijs Lvovs +5

The analysis of the interaction matrix between two distinct sets is essential across diverse fields, from pharmacovigilance to transcriptomics. Not all interactions are equally inf…

physics.med-ph2023

Dosimetric calibration of an anatomically specific ultra-high dose rate electron irradiation platform for preclinical FLASH radiobiology experiments

Jinghui Wang, Stavros Melemenidis, Rakesh Manjappa +16

We characterized the dosimetric properties of a clinical linear accelerator configured to deliver ultra-high dose rate (UHDR) irradiation to mice and cell-culture FLASH radiobiolog…

q-bio.QM2022★ 3 cited

Integration of Clinical, Biological, and Computational Perspectives to Support Cerebral Autoregulatory Informed Clinical Decision Making Decomposing Cerebral Autoregulation using Mechanistic Timescales to Support Clinical Decision-Making

J. K. Briggs, J. N. Stroh, T. D. Bennett +2

Adequate brain perfusion is required for proper brain function and life. Maintaining optimal brain perfusion to avoid secondary brain injury is one of the main concerns of neurocri…

eess.SP2020★ 1 cited

Machine Learning and Feature Engineering for Predicting Pulse Status during Chest Compressions

Diya Sashidhar, Heemun Kwok, Jason Coult +5

Objective: Current resuscitation protocols require pausing chest compressions during cardiopulmonary resuscitation (CPR) to check for a pulse. However, pausing CPR during a pulsele…

q-bio.PE2020★ 6 cited

Prospective Prediction of Future SARS-CoV-2 Infections Using Empirical Data on a National Level to Gauge Response Effectiveness

Natalia Blanco, Kristen Stafford, Marie-Claude Lavoie +3

Predicting an accurate expected number of future COVID-19 cases is essential to properly evaluate the effectiveness of any treatment or preventive measure. This study aimed to iden…