Browsing Harvard Medical School by Title
Now showing items 10266-10285 of 18448
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M89V Sialic Acid Acetyl Esterase (SIAE) and All Other Non-Synonymous Common Variants of This Gene Are Catalytically Normal
(Public Library of Science, 2013)Catalytically defective rare variants of Sialic acid Acetyl Esterase (SIAE) have previously been linked to autoimmunity. Studies presented here confirm that the M89V SIAE protein and all other products of common variant ... -
A Machine Learning Approach for Identifying Amino Acid Signatures in the HIV Env Gene Predictive of Dementia
(Public Library of Science, 2012)The identification of nucleotide sequence variations in viral pathogens linked to disease and clinical outcomes is important for developing vaccines and therapies. However, identifying these genetic variations in rapidly ... -
Machine learning classification of cell-specific cardiac enhancers uncovers developmental subnetworks regulating progenitor cell division and cell fate specification
(Company of Biologists, 2014)The Drosophila heart is composed of two distinct cell types, the contractile cardial cells (CCs) and the surrounding non-muscle pericardial cells (PCs), development of which is regulated by a network of conserved signaling ... -
Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology
(Elsevier BV, 2020-07)Background: Adverse drug reactions (ADRs) are one of the leading causes of morbidity and mortality in health care. Understanding which drug targets are linked to ADRs can lead to the development of safer medicines. Methods: ... -
Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees
(Public Library of Science, 2015)The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies ... -
Machine Learning methods for Quantitative Radiomic Biomarkers
(Nature Publishing Group, 2015)Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics. Highly accurate and reliable machine-learning approaches can drive the success of radiomic applications ... -
Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties
(Public Library of Science, 2013)Predicting the response of a specific cancer to a therapy is a major goal in modern oncology that should ultimately lead to a personalised treatment. High-throughput screenings of potentially active compounds against a ... -
Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data
(Springer Science and Business Media LLC, 2020-01-13)DNA methylation data-based personalized cancer diagnostics has emerged as the state-of-the-art in molecular pathology, still, we lack standards for choosing statistical methods with regard to well-calibrated probability ... -
Machine Perfusion of Donor Livers for Transplantation: A Proposal for Standardized Nomenclature and Reporting Guidelines
(John Wiley and Sons Inc., 2016)With increasing demand for donor organs for transplantation, machine perfusion (MP) promises to be a beneficial alternative preservation method for donor livers, particularly those considered to be of suboptimal quality, ... -
Machine-learning derived Pulmonary X-ray Severity (PXS) score to predict COVID-19 severe outcomes
(2022-05-10)Abstract Background Using a previously validated machine learning algorithm that extracts a quantitative measure of Pulmonary Xray Severity (PXS) score. We compared lung involvement among different SARS-COV-2 variants and ... -
Macromolecularly crowded in vitro microenvironments accelerate the production of extracellular matrix-rich supramolecular assemblies
(Nature Publishing Group, 2015)Therapeutic strategies based on the principles of tissue engineering by self-assembly put forward the notion that functional regeneration can be achieved by utilising the inherent capacity of cells to create highly ... -
Macrophage Damage in Relation to the Pathogenesis of Lung Diseases
(National Institute of Environmental Health Sciences, 1980)Pulnonary macrophages are important since their migratory patterns and behavior are often pivotal events in the pathogenesis of pulmonary disease. Alveolar macrophages act to decrease the probability of particle penetration ... -
Macrophage migration inhibitory factor: a mediator of matrix metalloproteinase-2 production in rheumatoid arthritis
(BioMed Central, 2006)Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by destruction of bone and cartilage, which is mediated, in part, by synovial fibroblasts. Matrix metalloproteinases (MMPs) are a large family of ... -
Macrophage- and RIP3-dependent inflammasome activation exacerbates retinal detachment-induced photoreceptor cell death
(Nature Publishing Group, 2015)Detachment of photoreceptors from the retinal pigment epithelium is seen in various retinal disorders, resulting in photoreceptor death and subsequent vision loss. Cell death results in the release of endogenous molecules ... -
Macrophages in pancreatic cancer: Starting things off on the wrong track
(The Rockefeller University Press, 2013)Chronic inflammation drives initiation and progression of many malignancies, including pancreatic cancer. In this issue, Liou et al. (2013. J. Cell Biol. http://dx.doi.org/10.1083/jcb.201301001) report that inflammatory ... -
Macrophages retain hematopoietic stem cells in the spleen via VCAM-1
(The Rockefeller University Press, 2015)Splenic myelopoiesis provides a steady flow of leukocytes to inflamed tissues, and leukocytosis correlates with cardiovascular mortality. Yet regulation of hematopoietic stem cell (HSC) activity in the spleen is incompletely ... -
Macrophages support pathological erythropoiesis in Polycythemia Vera and Beta-Thalassemia
(2013)Regulation of erythropoiesis is achieved by integration of distinct signals. Among these, macrophages are emerging as erythropoietin-complementary regulators of erythroid development, particularly under stress conditions. ... -
Madness (Unmāda)
(Brill Academic Publishers, 2010) -
MAFG-Driven Astrocytes Promote CNS Inflammation
(Springer Science and Business Media LLC, 2020-02-12) -
MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens
(BioMed Central, 2014)We propose the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) method for prioritizing single-guide RNAs, genes and pathways in genome-scale CRISPR/Cas9 knockout screens. MAGeCK demonstrates better ...