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Rakesh K. Jain

Researcher at Harvard University

Publications -  1528
Citations -  198912

Rakesh K. Jain is an academic researcher from Harvard University. The author has contributed to research in topics: Angiogenesis & Cancer. The author has an hindex of 200, co-authored 1467 publications receiving 177727 citations. Previous affiliations of Rakesh K. Jain include Government Medical College, Thiruvananthapuram & University of Oslo.

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Comparing Machine Learning Algorithms for Predicting ICU Admission and Mortality in COVID-19

TL;DR: It is shown that ensemble-based models perform better than other model types at predicting both 5-day ICU admission and 28-day mortality from COVID-19, and implementing such models would help in clinical decision-making for future CO VID-19 and other infectious disease outbreaks.
Journal ArticleDOI

Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment

TL;DR: A high-resolution molecular landscape of the cellular subtypes and spatial communities that compose PDAC is constructed using single-nucleus RNA sequencing and whole-transcriptome digital spatial profiling of 43 primary PDAC tumor specimens that either received neoadjuvant therapy or were treatment naive.
Journal ArticleDOI

Endothelial podosome rosettes regulate vascular branching in tumour angiogenesis

TL;DR: Seano et al. as discussed by the authors reported that blood vessel branching during tumour angiogenesis is mediated by the formation of podosome rosettes that depends on VEGF-A and integrin α6β1.
Journal ArticleDOI

Platelet-derived growth factor receptor-β in Gorham’s disease

TL;DR: Gorham's lymphangiomatosis with expression of platelet-derived growth factor receptor-β and elevated circulating Platelet- derived growth factor-BB is diagnosed in a 17-year-old male with no significant medical history.
Patent

Method for locating tumors prior to needle biopsy

TL;DR: In this paper, a method for locating a lesion within a tissue mass, includes steps of measuring a selected parameter at two or more points in at least one path through the tissue mass.