Machine Learning for Neuroscience Module, Spring 2023 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neuroscience/)

scCIPHER: Contextual deep learning on single-cell-enriched knowledge graphs in neurological disorders

Machine Learning for Neuroscience Module Spring 2026 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neuroscience/)

This repository contains a machine learning-based classification system for detecting speech disorders from acoustic and spectrogram features. It includes data preprocessing, feature extraction, and various classification models such as logistic regression, SVM, random forest, and CNNs.

Building CNN models to detect and classify brain tumors using images of MRI scans

A PWA emergency tool to help individuals alert bystanders during a seizure, providing clear instructions and an AI assistant for first-aid information.

This project focuses on analyzing sequencing data to understand molecular mechanisms of neurological diseases and predict the effectiveness of immunotherapy in breast cancer patients. It integrates Python and R scripts for data processing, statistical analysis, and visualization, alongside a comprehensive report detailing methods and findings.

This repository contains binary transcriptomic data of NVU cells post ischemic stroke in mice

This web app helps to predict the Parkinson disease status of a patient. It can be helpful for any test center who can upload there patient details and easily get a prediction.