A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Aliro: AI-Driven Data Science

A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.

👀 An all-purpose eye tracking web application and API for Alzheimer's disease research (3 tasks, <3 mins). 1st place in the 2021 CNT hackathon https://www.cnthackathon.org/

🏆 HackPrinceton 1st Place (Health Hack + Best Use Machine Learning) - Developed method for Alzheimer’s and Dementia early on-set detection. 💊 Built AWS Lambda backend, NLP classifiers, & integrated software with Amazon Alexa

Alzheimers Detection using MRI Scans 🏥

Systematic review of human post-mortem immunohistochemical studies and bioinformatics analyses unveil the complexity of astrocyte reaction in Alzheimer’s disease.

Wearable AI Facial Recognition Assistive Device For Dementia and Alzheimer's Patients - 2023 ISEF Project

Detect Alzheimer's Disease based on tabular text dataset

Training pipeline for alzheimers classification with custom built EfficientNet and ResNeXt models.

project to detect Alzheimer's disease stages from MRI scans using deep learning, featuring api to accept images

My thesis where I try to predict whether a MCI patient will convert to Alzheimers using a BAE (brain age estimator) and PET scans exclusively for brain imaging

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.

This project presents a Smart Wearable Medical Device (SWMD) – an IoT-based hand-band designed for critical care Alzheimer's patients. It features real-time GPS tracking, fall detection with caregiver alerts, emergency alert functionality, and monitoring of vital biomarkers, utilizing Firebase for data storage and synchronization.

A Machine Learning project predicting dementia progression from MRI data using SVM, One-vs-Rest and One-vs-One classifiers

本專案的靈感源自於認知刺激治療（Cognitive Stimulation Therapy, CST），透過在地化、懷舊的「金錢」主題，旨在為台灣的失智症長輩提供一個充滿樂趣、尊重且富有尊嚴的認知訓練工具。