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Hire Dr. Mathesh A.

India

USD 25 /hr

AI-Driven Healthcare & Medical Research Writer | Pharm.D | Clinical Data Specialist | Freelance Biostatistician |Python

Profile Summary

I am a Pharm.D candidate, published researcher, and Principal Investigator with a strong focus on integrating artificial intelligence into healthcare. I am currently an intern at Stanley Medical College, gaining hands-on clinical exposure that strengthens my research and writing. I also have 2.5 years of experience as a dispensing pharmacist, bringing practical clinical expertise to my projects. Published Works: 1. Pretrained VGG16-Based Deep Learning for Precise Histopathological Classification of Lung and Colorectal Cancers, Enhancing Oncology Diagnostics with Improved Accuracy and Automated Image Analysis – EC Pharmacology and Toxicology 2. Case Report on Type 3c Diabetes Mellitus – Paripex Indian Journal of Research 3. Barriers and Facilitators to Cervical Cancer Vaccination Among Young Females in Chennai – International Journal of Current Science Research and Review 4. Management of Mirizzi Syndrome Type I: A Case Report – Cureus Research Leadership: As Principal Investigator, I lead the project “Analysis of Type 2 Diabetes Medicine and Phenotyping Using Biomedical Data and Lifestyle Behaviour”, focusing on real-world clinical data integration for precision medicine. Ongoing Projects: 1. Prediction of Blood–Brain Barrier (BBB) penetration of drugs using SMILES and molecular descriptors 2. AI-driven analysis of Differentially Expressed Genes (DEG) from gene expression datasets 3. Myocardial infarction risk prediction and clinical interpretation using SNAP biomarkers 4. Temperature forecasting with Temporal Fusion Transformer (TFT) to optimize vaccine cold chain storage 5. Comparison of efficacy and safety of SGLT2 inhibitors vs. DPP4 inhibitors in Type 2 Diabetes Mellitus With my blend of clinical experience, AI expertise, and a strong publication record, I deliver high-quality academic manuscripts, systematic reviews, and technical healthcare content for both research and industry clients.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Artificial Intelligence
• ☆ Python
• ☆ Excel
• ☆ Tensorflow
• ☆ Scikit-learn
• ☆ Pharmacy
• ☆ Clinical Pharmacy
• ☆ Drug Discovery
• ☆ Phenotypic Assays
• ☆ Health Technology Assessment
• ☆ Pharmaceutical Technology
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Scientific Proofreading & Editing

Services

• Writing
• Data & AI

Writing Clinical Trial Documentation, Medical Writing, General Proofreading & Editing

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Mining, Data Processing

Work Experience

Student

Tamil Nadu Dr. M.G.R. Medical University

- Present

Clinical Pharmacist intern

Stanley Medical Colleg and Hospital

April 2025 - Present

Pharmacist Assistant

Voluntary health center

April 2023 - May 2024

Education

Pharm. D (Clinical Pharmacy Practice)

Tamil Nadu Dr. M.G.R. Medical University

December 2020 - May 2027

Certifications

• Data or Specimens Only Research

  CITI

  https://www.citiprogram.org/verify/?k93eaecf9-291e-4f29-aad4-51d616c6272e-71283181

  July 2025 - Present

Publications

JOURNAL ARTICLE

S, Shirly et al. “Management of Mirizzi Syndrome Type I: A Case Report.” Cureus vol. 17,3 e80799. 18 Mar. 2025, doi:10.7759/cureus.80799 .

Dr Shailaja K., et al. "Pretrained VGG16-Based Deep Learning for Precise Histopathological Classification of Lung and Colorectal Cancers, Enhancing Oncology Diagnostics with Improved Accuracy and Automated Image Analysis". EC Pharmacology and Toxicology 13.5 (2025): 01-10 .

Dhanshika V, Shirly S, Mathesh A, Suismitha S, Muppa L. Barriers and facilitators to cervical cancer vaccination among young females in Chennai: a cross-sectional KAP study. Int J Curr Sci Res Rev. 2024 Nov;7(11). doi:10.47191/ijcsrr/V7-i11-22 .

Mathesh A, Shirly S, Muppa L. Case report on type 3c diabetes mellitus. Paripex Indian J Res. 2023 Oct;12(10). doi:10.36106/paripex/5805907 .

CONFERENCE PRESENTATION

Mathesh A, Shirly S, Kumeravel Rajan S. Predictive analysis of chronic kidney failure using machine learning algorithm and comparison of various classifiers and artificial neural network. Presented at: International Conference on The Global Aspects of Pharmaceutical Care: Present and Future Trends (ICGAPC-2024); Aug 2024; Chennai, India. C.L. Baid Metha College of Pharmacy.

Mathesh A, Shirly S, Kumeravel Rajan S. Review on phage therapy for human and animal subject against Gram-negative bacteria. Presented at: CP Conclave 2023; 2023; Chennai, India.

Mathesh A, Shirly S, Kumeravel Rajan S. Economic evaluation of MODY's treatment. Presented at: National Conference on Pharmacovigilance and Outcome Research; Sep 2022; Chennai, India.