Frederick D. Coffman

Machine learning framework for mRNA alternative splicing analysis identifies a signature of progression in colorectal adenocarcinoma

Uran Maimekov, Mehdi Nosrati, Ahmed M Nageeb Mahmoud, Mainak Mustafi et autres

Despite recent advances in genome-wide profiling and the discovery of novel therapeutic options for colorectal adenocarcinoma (COAD), effective patient classification for the risk of cancer progression remains underdeveloped. Recent research has highlighted the crucial role of mRNA alternative splicing (AS) in the …

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An abductive inferential system approach to weight of evidence syntheses: the problem and military exposures worked example

J. Scott Parrott, Shobhik Chakraborty, Frederick D. Coffman, Albert Heuer et autres

Objective: Weight of Evidence methods for evidence synthesis of etiological epidemiology questions regarding historical complex exposures have been developed in recent years but are still in their nascency. This manuscript describes a novel extension of existing methods to address situations where the …

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Distinct structural and numerical chromosome abnormalities determine the MYC status in diffuse large B-Cell lymphoma and help differentiate from Burkitt lymphoma: a cytogenetic data analysis using unsupervised and AI-driven prediction models

Rolando García, Shankar S. Srinivasan, Mehta Shashi, Frederick D. Coffman et autres

The aim of this study was to identify recurrent chromosome abnormalities (RCAs) to distinguish these entities and to test their specificities in a set of predictor models. The study analyzed publicly available cytogenetic data to construct models to predict DLBCL and BL. …

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Distinct Structural and Numerical Chromosome Abnormalities Determine the MYC Status in Diffuse Large B-Cell Lymphoma and Help Differentiate from Burkitt Lymphoma: A Cytogenetic Data Analysis Using Unsupervised and Ai-Driven Prediction Models

Rolando García, Shankar S. Srinivasan, Mehta Shashi, Frederick D. Coffman et autres

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Frederick G Banting (1891-1941): A Pioneer in Diabetes Treatment

Yash Paul Sharma, Ajith Kumar Kannan, James M. Lee, Frederick D. Coffman et autres

The discovery of insulin by Frederick G Banting and his colleagues in 1921 marked a pivotal moment in medical history. Born in Ontario, Canada, in 1891, Banting's childhood was impacted by the death of his closest friend, Jane, who died of diabetes …

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Alois Alzheimer (1864-1915): The Father of Modern Dementia Research and the Discovery of Alzheimer’s Disease

Vishwa S Thakor, James M. Lee, Frederick D. Coffman, Rahul Mittal

Alois Alzheimer was a German psychologist and neuropathologist who significantly advanced the study of dementia with his discovery of Alzheimer's disease (AD). Based on his assessment of a 51-year-old female patient with symptoms of presenile dementia and after conducting a postmortem autopsy …

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Mechanism-centric regulatory network identifies NME2 and MYC programs as markers of Enzalutamide resistance in CRPC

Sukanya Panja, Mihai I. Truica, Christina Y. Yu, Vamshi Saggurthi et autres

Heterogeneous response to Enzalutamide, a second-generation androgen receptor signaling inhibitor, is a central problem in castration-resistant prostate cancer (CRPC) management. Genome-wide systems investigation of mechanisms that govern Enzalutamide resistance promise to elucidate markers of heterogeneous treatment response and salvage therapies for CRPC …

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Supplementary Data from Correcting miR-15a/16 genetic defect in New Zealand Black mouse model of CLL enhances drug sensitivity

Erica Salerno, Brian J. Scaglione, Frederick D. Coffman, Brian D. Brown et autres

Supplementary Data from Correcting miR-15a/16 genetic defect in New Zealand Black mouse model of CLL enhances drug sensitivity

Data from Correcting miR-15a/16 genetic defect in New Zealand Black mouse model of CLL enhances drug sensitivity

Erica Salerno, Brian J. Scaglione, Frederick D. Coffman, Brian D. Brown et autres

Abstract Alterations in the human 13q14 genomic region containing microRNAs mir-15a and mir-16-1 are present in most human chronic lymphocytic leukemia (CLL). We have previously found the development of CLL in the New Zealand Black murine model to be associated with a …

Data from Correcting miR-15a/16 genetic defect in New Zealand Black mouse model of CLL enhances drug sensitivity

Erica Salerno, Brian J. Scaglione, Frederick D. Coffman, Brian D. Brown et autres

Abstract Alterations in the human 13q14 genomic region containing microRNAs mir-15a and mir-16-1 are present in most human chronic lymphocytic leukemia (CLL). We have previously found the development of CLL in the New Zealand Black murine model to be associated with a …

Supplementary Data from Correcting miR-15a/16 genetic defect in New Zealand Black mouse model of CLL enhances drug sensitivity

Erica Salerno, Brian J. Scaglione, Frederick D. Coffman, Brian D. Brown et autres

Supplementary Data from Correcting miR-15a/16 genetic defect in New Zealand Black mouse model of CLL enhances drug sensitivity

Patient related risks and outcome assessments on interhospital surgical site infection rates

Vibha Gujar, Shankar S. Srinivasan, D.P. Mital, Frederick D. Coffman

Propensity scores and regression reduces confounding bias in medical research. This paper employs these methods to examine secondary data available through the healthcare cost and utilisation project (HCUP, year 2008-2012), for surgical site infection (SSI) risks and outcomes amongst the patient population …

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