{"id":3919,"date":"2026-04-01T08:53:47","date_gmt":"2026-04-01T08:53:47","guid":{"rendered":"https:\/\/arranstudio.com\/msctr\/?page_id=3919"},"modified":"2026-05-29T08:53:22","modified_gmt":"2026-05-29T08:53:22","slug":"computational-biology","status":"publish","type":"page","link":"https:\/\/arranstudio.com\/msctr\/computational-biology\/","title":{"rendered":"Computational Biology"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3919\" class=\"elementor elementor-3919\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a9f18b2 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"a9f18b2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\r\n\r\n\r\n\r\n\r\n\r\n\t\t<div class=\"elementor-element elementor-element-417c92b elementor-widget elementor-widget-limpid-inner-page-hero\" data-id=\"417c92b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"limpid-inner-page-hero.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t        <!-- Inner Page Hero Area Start -->\n        <div class=\"inner-page-hero-area\">\n            <div class=\"inner-page-bg \">\n                <div class=\"container\">\n                    <div class=\"inner-page-content\">\n                                                    <h2>Computational Biology<\/h2>\n                                                                            <ul>\n                                <li>\n                                    <a href=\"https:\/\/arranstudio.com\/msctr\/\">Home<\/a>\n                                <\/li>\n                                <li>\n                                    Computational Biology                                <\/li>\n                            <\/ul>\n                                            <\/div>\n                <\/div>\n                <div class=\"all-shapes\">\n                                            <img decoding=\"async\" src=\"http:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2025\/11\/inner-page-shape11.png\" class=\"inner-shape1\" alt=\"Shape\">\n                                                                <img decoding=\"async\" src=\"http:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2025\/11\/inner-page-shape3.png\" class=\"inner-shape2\" alt=\"Shape\">\n                                    <\/div>\n            <\/div>\n        <\/div>\n        <!-- Inner Page Hero Area End -->\n        \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-651dc2f e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"651dc2f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ad0cd48 elementor-widget elementor-widget-image\" data-id=\"ad0cd48\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1920\" height=\"920\" src=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Computational-Biology.png\" class=\"attachment-full size-full wp-image-4612\" alt=\"\" srcset=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Computational-Biology.png 1920w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Computational-Biology-300x144.png 300w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Computational-Biology-1024x491.png 1024w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Computational-Biology-768x368.png 768w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Computational-Biology-1536x736.png 1536w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Computational-Biology-530x254.png 530w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-300f211 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"300f211\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-fd0198d e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"fd0198d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-84f53ea elementor-widget elementor-widget-heading\" data-id=\"84f53ea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Computational Biology<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-702b7ef elementor-widget elementor-widget-text-editor\" data-id=\"702b7ef\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The Computational Biology group was established recently at MSMF with a mandate to utilize computational and statistical techniques including Artificial Intelligence (AI) and Machine Learning (ML) algorithms for processing clinical, molecular, and medical image data to generate hypotheses for validation and translation to the clinic as diagnostics, prognostics or therapeutics. Currently, the group is working on projects in the area of head and neck and oncology and neuro-oncology towards identifying novel biomarkers through integrating multi-omic data. In another realm of research, members of the computational biology group analyze images of routinely acquired histopathology slides to uncover hidden patterns that link to a clinically meaningful subtype in brain tumors or to therapy sensitivity in lung carcinoma. All these projects could potentially lead to a diagnostic or prognostic test in the clinic that can aid the clinicians in augmenting the disease management regime.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c695dea e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"c695dea\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3e3be2a e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"3e3be2a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-233433c elementor-widget elementor-widget-heading\" data-id=\"233433c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">People<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-69bd168 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"69bd168\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-685a9a8 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"685a9a8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1014081 elementor-position-top elementor-widget elementor-widget-image-box\" data-id=\"1014081\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"418\" height=\"539\" src=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/04\/Sujan-K-Dhar-1.jpg\" class=\"attachment-large size-large wp-image-3892\" alt=\"\" srcset=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/04\/Sujan-K-Dhar-1.jpg 418w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/04\/Sujan-K-Dhar-1-233x300.jpg 233w\" sizes=\"(max-width: 418px) 100vw, 418px\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Dr. Sujan K Dhar, Ph.D.<\/h4><p class=\"elementor-image-box-description\">Computational Biology<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a809bdf e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"a809bdf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c3b9740 elementor-widget elementor-widget-text-editor\" data-id=\"c3b9740\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>Projects:<\/strong> Dr. Sujan K Dhar (PhD in Theoretical Physics from Indian Institute of Science) heads the newly formed computation Biology program at MSCTR, MSMF. Following his passion in computation, Dr Dhar started his career as a scientist in the Supercomputer Education and Research Center (SERC) at IISc before joining the software and then the pharma-support Industry. As an entrepreneur in the pharma-support Induatry, he started working with the clinicians and got back to his initial passion of computation, now with a clinically relevant translational focus.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c352e71 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"c352e71\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-a74cb81 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"a74cb81\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a9e92d7 elementor-position-top elementor-widget elementor-widget-image-box\" data-id=\"a9e92d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"640\" height=\"427\" src=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Abhijna-CB-1024x683.jpg\" class=\"attachment-large size-large wp-image-4580\" alt=\"\" srcset=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Abhijna-CB-1024x683.jpg 1024w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Abhijna-CB-300x200.jpg 300w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Abhijna-CB-768x512.jpg 768w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Abhijna-CB-1536x1024.jpg 1536w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Abhijna-CB-2048x1365.jpg 2048w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Abhijna-CB-530x353.jpg 530w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Abhijna R Chandra MSc Bioinformatics<\/h4><p class=\"elementor-image-box-description\">Project Associate I abhijna@ms-mf.org<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-096e449 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"096e449\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-43f431d elementor-widget elementor-widget-text-editor\" data-id=\"43f431d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>Projects:<\/strong> Developing Deep Learning Methods for Multi-Omics Integration in Atherosclerosis<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-df301eb e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"df301eb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-b8ddcbf e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"b8ddcbf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f549dfc elementor-position-top elementor-widget elementor-widget-image-box\" data-id=\"f549dfc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"427\" src=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Sreejith-CB-1024x683.jpg\" class=\"attachment-large size-large wp-image-4581\" alt=\"\" srcset=\"https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Sreejith-CB-1024x683.jpg 1024w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Sreejith-CB-300x200.jpg 300w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Sreejith-CB-768x512.jpg 768w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Sreejith-CB-1536x1024.jpg 1536w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Sreejith-CB-2048x1365.jpg 2048w, https:\/\/arranstudio.com\/msctr\/wp-content\/uploads\/2026\/05\/Sreejith-CB-530x353.jpg 530w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Sreejith Puthenveetil Bachelor of Technology<\/h4><p class=\"elementor-image-box-description\">Consultant sreejith@ms-mf.org<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4156280 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"4156280\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-66224cd elementor-widget elementor-widget-text-editor\" data-id=\"66224cd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>Projects:<\/strong> Large language Model &amp; IDH-Mutations<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-caad86f e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"caad86f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e3e4a43 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"e3e4a43\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6427d4e elementor-widget elementor-widget-heading\" data-id=\"6427d4e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">\nAlumni\n<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0e2c115 elementor-widget elementor-widget-text-editor\" data-id=\"0e2c115\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>Anuradha Panigrahi \u00a0 \u00a0 \u00a0 \u00a0<\/strong><\/p><p>Intern , PhD Student, NMIMS Mumbai<\/p><p><strong>Vijeta Joshi \u00a0<\/strong><\/p><p>Intern, Educator, Aakash Institute<\/p><p><strong>Tahmina Mazumdar<\/strong><\/p><p><strong>Nagapushpa<\/strong><\/p><p>Dept of Histopathology, NH<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-53ac2e2 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"53ac2e2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-a7850a1 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"a7850a1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7e92044 elementor-widget elementor-widget-heading\" data-id=\"7e92044\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Publications<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e834b0f elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"e834b0f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-dot-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm80 248c0 44.112-35.888 80-80 80s-80-35.888-80-80 35.888-80 80-80 80 35.888 80 80z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"> Proteogenomic Integration for discovery of differntial biomarkers in Glioblastoma: Glioblastoma is an aggressive form of brain cancer with median survival less than 18 months. In this project, we are analyzing transcriptomics and proteomics data generated from a set of glioblastoma and lower-grade glioma patients using a combination of de novo assembly and alignment-based pipelines to arrive at novel peptides differentially expressed in glioblastoma and other related clinical phenotypes. Dr Ravi Sirdeshmukh, Dr Abhishek Kumar, Institute of Bioinformatics. <\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-dot-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm80 248c0 44.112-35.888 80-80 80s-80-35.888-80-80 35.888-80 80-80 80 35.888 80 80z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">AI-enabled computational model for IDH1 mutation detection from H&amp;E-stained glioma histopathology images : Mutations in the IDH gene are known to indicate better prognosis for patients suffering from lower-grade glioma. Current pathology practice of detecting the mutation using immunohistochemistry can only detect the canonical mutations. In this project, we aim to develop an artificial neural network-based computational model that can detect both canonical and non-canonical mutations from histopathology images that are generated as part of the standard of care. Dr Akhila L, Pathology, NH<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-dot-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm80 248c0 44.112-35.888 80-80 80s-80-35.888-80-80 35.888-80 80-80 80 35.888 80 80z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Determination of COVID-19 severity indicators from the systematic analysis of public data: Through successive waves of COVID-19, it is now well-established that around 5-10% of infected patients progress to severe form of the disease and other factors like age and pre-existing illnesses increases the chance of severity. In this study, we have analyzed a plethora of publicly available data to establish a set of cytokine markers like IL-6 and IL-10 that be used as a prognostic indicators. We also showed that inflammation and hypercoagulopathy are the pre-dominant risk factors of severity for SARS-CoV-2 infected patients suffering from diabetes.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b79077a e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"b79077a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-02ebbb9 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"02ebbb9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5ad6cd5 elementor-widget elementor-widget-heading\" data-id=\"5ad6cd5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Patents<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4a0acd elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"c4a0acd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-dot-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm80 248c0 44.112-35.888 80-80 80s-80-35.888-80-80 35.888-80 80-80 80 35.888 80 80z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Tumor microenvironment platform comprising oral carcinoma for predicting drug sensitivity, drug resistance, and disease progression. File Number: 202141048345\/TEMP\/E-1\/54650\/2021-CHE. Filed Date: 23RD OCTOBER 2021<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-dot-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm80 248c0 44.112-35.888 80-80 80s-80-35.888-80-80 35.888-80 80-80 80 35.888 80 80z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Compositions and methods for treating coronavirus infection with different levels of disease severity. File Number: 202041036866. Filed Date: 27TH AUGUST 2020<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-dot-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm80 248c0 44.112-35.888 80-80 80s-80-35.888-80-80 35.888-80 80-80 80 35.888 80 80z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Antibodies against Lipocalin-2 and uses thereof. File Number: 202021000274. Filed Date: 03RD JANUARY 2019<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Computational Biology Home Computational Biology Computational Biology The Computational Biology group was established recently at MSMF with a mandate to utilize computational and statistical techniques including Artificial Intelligence (AI) and Machine Learning (ML) algorithms for processing clinical, molecular, and medical image data to generate hypotheses for validation and translation to the clinic as diagnostics, prognostics or therapeutics. Currently, the group is working on projects in the area of head and neck and oncology and neuro-oncology towards identifying novel biomarkers through integrating multi-omic data. In another realm of research, members of the computational biology group analyze images of routinely acquired histopathology slides to uncover hidden patterns that link to a clinically meaningful subtype in brain tumors or to therapy sensitivity in lung carcinoma. All these projects could potentially lead to a diagnostic or prognostic test in the clinic that can aid the clinicians in augmenting the disease management regime. People Dr. Sujan K Dhar, Ph.D. Computational Biology Projects: Dr. Sujan K Dhar (PhD in Theoretical Physics from Indian Institute of Science) heads the newly formed computation Biology program at MSCTR, MSMF. Following his passion in computation, Dr Dhar started his career as a scientist in the Supercomputer Education and Research Center (SERC) at IISc before joining the software and then the pharma-support Industry. As an entrepreneur in the pharma-support Induatry, he started working with the clinicians and got back to his initial passion of computation, now with a clinically relevant translational focus. Abhijna R Chandra MSc Bioinformatics Project Associate I abhijna@ms-mf.org Projects: Developing Deep Learning Methods for Multi-Omics Integration in Atherosclerosis Sreejith Puthenveetil Bachelor of Technology Consultant sreejith@ms-mf.org Projects: Large language Model &amp; IDH-Mutations Alumni Anuradha Panigrahi \u00a0 \u00a0 \u00a0 \u00a0 Intern , PhD Student, NMIMS Mumbai Vijeta Joshi \u00a0 Intern, Educator, Aakash Institute Tahmina Mazumdar Nagapushpa Dept of Histopathology, NH Publications Proteogenomic Integration for discovery of differntial biomarkers in Glioblastoma: Glioblastoma is an aggressive form of brain cancer with median survival less than 18 months. In this project, we are analyzing transcriptomics and proteomics data generated from a set of glioblastoma and lower-grade glioma patients using a combination of de novo assembly and alignment-based pipelines to arrive at novel peptides differentially expressed in glioblastoma and other related clinical phenotypes. Dr Ravi Sirdeshmukh, Dr Abhishek Kumar, Institute of Bioinformatics. AI-enabled computational model for IDH1 mutation detection from H&amp;E-stained glioma histopathology images : Mutations in the IDH gene are known to indicate better prognosis for patients suffering from lower-grade glioma. Current pathology practice of detecting the mutation using immunohistochemistry can only detect the canonical mutations. In this project, we aim to develop an artificial neural network-based computational model that can detect both canonical and non-canonical mutations from histopathology images that are generated as part of the standard of care. Dr Akhila L, Pathology, NH Determination of COVID-19 severity indicators from the systematic analysis of public data: Through successive waves of COVID-19, it is now well-established that around 5-10% of infected patients progress to severe form of the disease and other factors like age and pre-existing illnesses increases the chance of severity. In this study, we have analyzed a plethora of publicly available data to establish a set of cytokine markers like IL-6 and IL-10 that be used as a prognostic indicators. We also showed that inflammation and hypercoagulopathy are the pre-dominant risk factors of severity for SARS-CoV-2 infected patients suffering from diabetes. Patents Tumor microenvironment platform comprising oral carcinoma for predicting drug sensitivity, drug resistance, and disease progression. File Number: 202141048345\/TEMP\/E-1\/54650\/2021-CHE. Filed Date: 23RD OCTOBER 2021 Compositions and methods for treating coronavirus infection with different levels of disease severity. File Number: 202041036866. Filed Date: 27TH AUGUST 2020 Antibodies against Lipocalin-2 and uses thereof. File Number: 202021000274. Filed Date: 03RD JANUARY 2019<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-3919","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/pages\/3919","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/comments?post=3919"}],"version-history":[{"count":24,"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/pages\/3919\/revisions"}],"predecessor-version":[{"id":4994,"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/pages\/3919\/revisions\/4994"}],"wp:attachment":[{"href":"https:\/\/arranstudio.com\/msctr\/wp-json\/wp\/v2\/media?parent=3919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}