In this project, we created a convolutional neural network using the EfficientNetB1 model in Keras to perform Image Classification of MRI brain scans with reasonably high (97.4%) accuracy.
Simulation toolkit designed to explore the hidden rhythms of the pituitary gland.
Base-resolution deep learning framework for mapping transcription factor (TF) binding dynamics in the single-cell and bulk ATAC-seq atlas of the mouse and rat pituitary gland.
Psyc-EndoCare_AI is a research-backed psychiatry and endocrinology intelligence platform. Built on evidence-based mental health and endocrine medicine guidelines, it provides educational information on psychiatric disorders, diabetes, thyroid and hormonal diseases, crisis recognition, symptom assessment and printable reports. Fully offline-capable.
Pituitary and neuroendocrine medicine · Clinical research · Medical AI
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