Healthcare, Biotech & Pharma - AI&Medicine Precision

Precision medicine tailors diagnoses and treatments to the patient's genetic, environmental, and behavioural characteristics, moving beyond the standardised approach. It relies on multi-omic technologies and advanced tools such as next-generation sequencing (NGS), liquid biopsies, and high-resolution imaging.

Artificial intelligence (AI) plays a crucial role in analysing large volumes of data, predicting risks, optimising therapies, and discovering new drugs, thereby reducing time and costs. Federated Learning (FL) enables the training of AI models without sharing sensitive data, ensuring privacy and regulatory compliance. It is applied in oncology, genomics, and the development of drugs for rare diseases. The main challenges include data protection, high costs, and the risk of genetic discrimination.

The integration of AI and FL into precision medicine promises more effective, safer, and more personalised healthcare.

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