Bioinformatics/ machine-learning

The integration of artificial intelligence (AI) into bioinformatics and materials discovery is progressively enhancing and expediting research endeavors. AI aids scientists in formulating hypotheses, crafting experiments, collecting and interpreting extensive datasets, and extracting insights that may have been unattainable solely through conventional scientific techniques. AI-driven approaches enable the rapid exploration and customization of biomaterial properties, aiding in the creation of innovative molecules with tailored characteristics for medical and biological purposes. The future promises more sophisticated AI algorithms  and hybrid models that combine the strengths of AI and traditional multiscale calculations capable of making even more accurate predictions.