A5019379985- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- AI in cancer detection
- Optimization and Packing Problems
- Long-Term Effects of COVID-19
- Cancer Genomics and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Ubiquitin and proteasome pathways
- Genomics and Phylogenetic Studies
- Innovative Microfluidic and Catalytic Techniques Innovation
- Advanced Proteomics Techniques and Applications
- Retinal Imaging and Analysis
- Advanced Manufacturing and Logistics Optimization
- Mitochondrial Function and Pathology
- Cyclopropane Reaction Mechanisms
- Intensive Care Unit Cognitive Disorders
- RNA Research and Splicing
- CAR-T cell therapy research
- RNA modifications and cancer
- Chemical Synthesis and Analysis
- Robotic Path Planning Algorithms
- Virus-based gene therapy research
- Medical Image Segmentation Techniques
- Cellular transport and secretion
- Metaheuristic Optimization Algorithms Research
Academy of Scientific and Innovative Research
2023-2025
Indian Institute of Chemical Technology
2023-2025
Shri BM Patil Medical College
2024
Innovative Genomics Institute
2021-2022
Broad Institute
2021-2022
Massachusetts Eye and Ear Infirmary
2020-2022
Harvard University
2014-2022
International Institute of Information Technology, Hyderabad
2020-2022
Harvard Stem Cell Institute
2021-2022
Smith-Kettlewell Eye Research Institute
2021-2022
The SARS-CoV-2 pandemic has affected more than 185 million people worldwide resulting in over 4 deaths. To contain the pandemic, there is a continued need for safe vaccines that provide durable protection at low and scalable doses can be deployed easily. Here, AAVCOVID-1, an adeno-associated viral (AAV), spike-gene-based vaccine candidate demonstrates potent immunogenicity mouse non-human primates following single injection confers complete from challenge macaques. Peak neutralizing antibody...
Herein, we have reported the μ-TPSM for synthesis of Darunavir within 41 min total residence time with a 71% isolated yield, and an output 0.8 g h −1 .
Combination of artificial light and solar panel tracker for integrated two-step continuous-flow diazo generation, its utility in late-stage functionalization.
An AI-assisted continuous flow reactor for CO 2 reduction to methanol using a MOF-derived CuO/TiO photocatalyst.
Eukaryotic mitotic entry is controlled by Cdk1, which activated the Cdc25 phosphatase and inhibited Wee1 tyrosine kinase, a target of ubiquitin proteasome pathway. Here we use reporter degradation, K328M-Wee1-luciferase, to screen kinase-directed chemical library. Hit profiling identified CK1δ-dependent degradation. Small-molecule CK1δ inhibitors specifically disrupted destruction arrested HeLa cell proliferation. Pharmacological inhibition, siRNA knockdown, or conditional deletion also...
Abstract Understanding the pathogenesis of SARS-CoV-2 is important for developing effective treatment strategies. Viruses hijack host metabolism to redirect resources their replication and survival. How influences still unclear. In this study, we analyzed transcriptomic data obtained from different human respiratory cell lines patient samples (Swab, PBMC, lung biopsy, BALF) understand metabolic alterations in response infection. For purpose, expression pattern genes genome-scale network...
The reproducibility of chemical reactions, when obtaining protocols from literature or databases, is highly challenging for academicians, industry professionals and even now the machine learning process. To synthesize organic molecule under photochemical condition, several years reaction optimization, skilled manpower, long time etc. are needed, resulting in non-affordability slow down research development. Herein, we have introduced DigiChemTree backed with artificial intelligence to...
Summary The SARS-CoV-2 pandemic has affected more than 70 million people worldwide and resulted in over 1.5 deaths. A broad deployment of effective immunization campaigns to achieve population immunity at global scale will depend on the biological logistical attributes vaccine. Here, two adeno-associated viral (AAV)-based vaccine candidates demonstrate potent immunogenicity mouse nonhuman primates following a single injection. Peak neutralizing antibody titers remain sustained 5 months are...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants concern. Understanding impact mutations SARS-CoV-2 genome on phenotype associated co-morbidities is important for treatment preventionas pandemic progresses. Based mild, moderate, severe phenotypes, we analyzed possible association between both,...
The apo(a) [apolipoprotein(a)] gene is responsible for variations in plasma lipoprotein(a), high levels of which are a risk factor atherosclerosis and myocardial infarction. promoter stimulates the expression reporter genes HepG2 cells, but not HeLa cells. In present study, we demonstrate that 1.4 kb comprises two composite regulatory regions: distal negative module (positions −1432 to −716) proximal tissue-specific (−716 −616). contains strong regions [polymorphic PNR (pentanucleotide...
Introduction Breast cancer is a heterogeneous disease with varying clinical outcomes in histologically similar tumors. Micro arrays gene profiling has identified several breast subtypes which include luminal A, Luminal B, Basal, and Her2 subtype. These show variable prognosis response to therapy. Objectives To determine the proportion of various at Aga Khan University hospital describe their pathological characteristics. Study Design & setting Cross sectional study all specimens received...
The advent of digital pathology presents opportunities for computer vision fast, accurate, and objective solutions histopathological images aid in knowledge discovery. This work uses deep learning to predict genomic biomarkers- TP53 mutation, PlK3CA ER status, PR HER2 intrinsic subtypes, from breast cancer histopathology images. Furthermore, we attempt understand the underlying morphology as how these biomarkers manifest Since gene sequencing is expensive, not always available, or even...
Improvements in LC-MS/MS methods and technology have enabled the identification of thousands modified peptides a single experiment. However, protein regulation by post-translational modifications (PTMs) is not binary, making to quantify modification extent crucial understanding role PTMs. Here, we introduce FLEXIQuant-LF, software tool for large-scale differentially quantification their without knowledge types involved. We developed FLEXIQuant-LF using label-free unmodified robust linear...
The SARS-CoV-2 pandemic has had a disastrous impact on global health. Although some vaccine candidates have been effective in combating SARS-CoV-2, logistical, economical, and sociological aspects still limit access globally. Recently, we reported two room-temperature stable AAV-based COVID-19 vaccines that induced potent protective immunogenicity following single injection murine primate models. Obesity old age are associated with increased mortality COVID-19, as well reduced efficacy of...
<title>Abstract</title> The reproducibility of chemical reactions, when obtaining protocols from literature or databases, is highly challenging for academicians, industry professionals and even now the machine learning process. To synthesize organic molecule under photochemical condition, several years reaction optimization, skilled manpower, long time etc. are needed, resulting in non-affordability slow down research development. Herein, we have introduced DigiChemTree backed with...
Prediction of sepsis using machine-learning approaches has recently gained traction. However, the lack translation these algorithms into clinical routine remains a major issue. Existing early detection methods are either based on older definition or do not accurately detect leading to high frequency false-positive alarms. This results in well-known issue clinicians’ “alarm fatigue”, decreased responsiveness and identification, ultimately resulting delayed intervention. Hence, there is...
Background Breast carcinoma cases are rising steadily and represent a major cause of mortality morbidity in India. In response to breast carcinoma, the immune system is activated, resulting lymphocyte infiltration around tumor nests. This interaction between basis for studying tumor-infiltrating lymphocytes (TILs). Despite studies on TILs role CD3+TILs predicting patient outcomes remains underexplored. study aimed evaluate tissues by analyzing CD3 expression through immunohistochemistry...
This work explores a hybrid approach to segmentation as an alternative purely data-driven approach. We introduce end-to-end U-Net based network called DU-Net, which uses additional frequency preserving features, namely the Scattering Coefficients (SC), for medical image segmentation. SC are translation invariant and Lipschitz continuous deformations help DU-Net outperform other conventional CNN counterparts on four datasets two tasks: Optic Disc Cup in color fundus images fetal Head...