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This blog post explores how neural implants work, from capturing electrical signals in the brain to decoding them into actions, and even sending information back into the brain for therapy. It covers the main implant types (surface grids, microelectrode arrays, and minimally invasive vascular meshes), explains the engineering behind signal transmission and decoding, and highlights advances in flexible, biodegradable materials. The post draws on recent research to show how brain-machine interfaces are becoming safer, more precise, and closer to everyday medical use.

“A simple urinary tract infection can be fatal.” This frightening scenario may seem like a nightmare from the depths of medical history, but unfortunately, according to respected organizations such as the World Health Organization and the Centers for Disease Control and Prevention, it does not belong to a distant future but rather points to a grim reality projected for 2050.

The intersection of deep learning, biomedicine, and biotechnology is pushing research and medical innovation ahead. AI models are interpreting intricate biological data with record accuracy, ranging from protein function prediction to microfluidics-based diagnostics. Such advances bring both opportunity and challenges in data interpretation and model reliability while opening new paths for personalized medicine and high-throughput experimentation.

Organ-on-A-chip (OoAC) devices are functional, miniature in vitro structures that use several cell types and extracellular matrix to replicate the physiology of an organ in vivo while preserving the mechanical and chemical characteristics of the surrounding microenvironments...