Artificial intelligence is reshaping biomedicine, offering new ways to diagnose disease, analyse data, and personalise treatment. This module introduces the core ideas behind AI‑driven healthcare and shows how algorithms support scientific and clinical decision‑making.

You begin by exploring how machine learning models analyse medical images, identifying tumours, classifying tissue types, and detecting subtle patterns that may escape human eyes. You learn how AI supports early diagnosis, triage, and risk prediction.

The module then moves into research applications. AI accelerates drug discovery by predicting molecular interactions, screening compounds, and modelling protein structures. In genomics, algorithms identify variants, classify mutations, and uncover patterns across large datasets.

You also explore personalised medicine. AI integrates clinical records, genetic data, and lifestyle information to tailor treatments to individual patients.

Throughout, the module emphasises limitations and ethics: bias in training data, transparency, privacy, and the need for human oversight. You reflect on how to use AI responsibly, ensuring that innovation supports equity and trust.

By the end, AI feels less like a distant technology and more like a practical, powerful, promising, and deeply intertwined with the future of healthcare.

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