Joy Das
Lovely Professional University, BGC Trust University Bangladesh
Research areas: Neuroscience · Neurology · Medical Image Segmentation Techniques · Gut microbiota and health · Parkinson's Disease Mechanisms and Treatments
About
I am Joy Das, a researcher with diverse interests in health sciences. My primary focus lies in neurodegenerative diseases, where I aim to integrate machine learning (ML) and artificial intelligence (AI) to improve diagnostics, treatment strategies, and patient outcomes. In addition, I have a strong interest in core clinical pharmacology and exploring disease-related mechanisms and therapeutic approaches.
Employment
Employment history is unavailable.
Education
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Lovely Professional University M. Pharm2022 - 2024
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BGC Trust University Bangladesh B. Pharm2018 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Targeting Cancer Stem Cells with Phytochemicals: Molecular Mechanisms and Therapeutic Potential Save
- Microbiota-brain interaction: The role of gut-derived proteins in addressing various neurological disorders including Parkinson’s (PD) and Alzheimer’s diseases (AD) Save
- Kynurenine pathway in Parkinson’s disease: pathophysiological roles and therapeutic interventions Save
- Cataract Management in the Modern Era: Therapeutic Advances and Unmet Needs Save
- Probiotics, psychobiotics, and postbiotics: a therapeutic modality for the management of schizophrenia Save
- Stem Cell Therapy Save
- Nanobubbles: An emerging therapeutic paradigm for targeted cancer therapy Save
- Network Pharmacology Approaches to Myocardial Infarction Reperfusion Injury: Exploring Mechanisms, Pathophysiology, and Novel Therapies Save
- A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging Save
- Advances in Radiotherapy of Genitourinary Cancers Save
- Biomarkers Unveiling Neurodegeneration: Keys to Progression and Therapeutic Insights Save
- Deep Learning Architectures for Tomato Leaf Disease Segmentation: A Comparative Analysis Save
- Efficient multi-modal fusion framework with advanced AI-driven approaches for automated Parkinson's disease detection Save
- Implementation and Performance Evaluation of Various Deep Learning-based Segmentation Approaches for Liver Tumor Detection and Diagnosis in Medical Imaging Save
- The role of ACE inhibitors and ARBs in preserving cognitive function via hypertension Management: A critical Update Save
- Efficient Drowsiness detection system for drivers using image processing techniques Save