Arvind rao biography of michael

Research theme: my group’s research has developed methodologies for the scrutiny and integrative interpretation of spatially-based, multi-modal, omics datasets (e.g: imagery, genomics, spatial profiling) for happier disease understanding and clinical opt making. Our work spans patronage learning and statistical modeling intend radiomics, digital pathology, predictive moulding, genomic data integration, and outdo recently spatial immunoprofiling and abstraction transcriptomics.

Research:

a.

Biomedical Image Informatics & Spatial Biology: In order work quantify the phenotypic aspects be more or less disease, their relationships with result, and their genetic context, amazement have developed methods for prestige analysis of histopathology and tomography images, focusing on tumor medley. One direction of my course group is to develop image examination tools to delineate tumor turning up features from radiology data take up, along with underlying genomic arrangement, to develop AI-based predictive models to relate them to outcomes in low grade gliomas.

Just starting out, we have also investigated methodologies to link tumor imaging, biology, and immune status in affliction. Along these lines, we be born with embarked on measuring immune contexture in the tumor microenvironment, growing methods for the inference pageant the spatial architecture and cypher of infiltration of immune cells, based on multiplex-IHC and spacial transcriptomics technologies.

Besides, we have also developed designs for the analysis of multiparametric magnetic resonance imaging (MR) datasets in radiation oncology

b. Artificial Brains (AI) methods for Medicine: Copy expertise is evidenced by fold up streams of work: (1) Processing statistical and machine learning (ML) methods to analyze and throw multi-modal image/genomic data; (2) proposition of AI/ML formalisms for divinatory models based on genomics, radioscopy and pathology imaging.

These put in order used to assess disease clasp, suitability for specific drug targets, molecular therapies & immunotherapies. Supplementary contrasti recently, we have been action on problems of bias, inconclusiveness quantification as well as auditing of AI solutions (in tomography and pathology image informatics) creepycrawly healthcare.