A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process
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Updated
May 12, 2024 - Python
A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process
DICOM database management for medical ML project based on web.
Welcome to the GitHub repo for "HMS - EEG Exploration & Neurocritical Care Journey"! Explore EEG data, understand wave patterns, and delve into conditions like LPDs, GPDs, LRDA, and GRDA.
A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.
A repository containing deep learning models and evaluation methods for enhancing medical image segmentation in Computed Tomography (CT) scans, with a focus on U-Net variants, nnUNet, and Swin-UNet architectures.
A curated clinical dataset detailing the clinical journeys of visceral surgical patients, aimed at enhancing research and patient outcomes.
GPT2-774M model, fine-tuned on all public information and papers (up to 2021) related to Chronic Fatigue Syndrome/Myalgic Encephalomyelitis
Client library for interacting with ARIA APIs for data deposition.
Extract Medical Expenditure Panel Survey's Household Consolidated Data Files using Stata
Welcome to Healthcare Thoughts! This is where I share my insights at the intersection of healthcare and technology. Explore articles on federated learning, blockchain, AI in medicine, health data privacy, and telemedicine. Let's engage in meaningful conversations about the exciting world of healthcare tech!
Welcome to my GitHub Projects Portfolio! This repository showcases my work across various domains, encompassing research, data visualization, analytics, and statistical modeling. Explore the projects listed below to glimpse my expertise and interests.
Early Detection of Diabetic Kidney Disease using Contrast Enhanced Ultrasound Perfusion Parameters. Explore perfusion models (Lagged Normal, Log-Normal, Gamma Variate), compare their effectiveness, and analyze their application to diabetic and control cases.
This Python-based Exploratory Data Analysis (EDA) aims to assess the effectiveness of Capomulin, an anti-cancer medication, in comparison to other treatment regimens. The initial phase involves an inter-drug comparison, followed by a detailed analysis of Capomulin, which includes the application of linear regression.
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