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The true strength of multimodal AI lies in its ability to gather and interpret diverse data sources—whether imaging, genetic or vocal—providing a multidimensional view of patient health. This approach can lead not only to better medical outcomes but also support the move toward precision medicine, tailored to each individual’s unique needs.

The final section of the study delves into individuation - the process by which AI systems are presented as discrete, autonomous entities akin to biological organisms. In evolutionary computing, individuation is technical and serves specific algorithmic functions.

In a major step toward more reliable AI-assisted molecular design, researchers from National Taiwan University have demonstrated that incorporating uncertainty quantification (UQ) into graph neural network (GNN) models significantly improves both the efficiency and robustness of molecular optimization.

Automation combined with innovation will define the future. Businesses that accept this change today can achieve dominance in tomorrow's economic environment.

Founder and CEO, ClairLabs urges enterprises to overcome significant hurdles such as data inaccessibility, silos, inaccuracy, and inconsistency as AI-driven genomics is set to redefine personalised he

Artificial intelligence is identified as a catalyst in enhancing the capabilities of digital twins. AI systems serve not only as simulation engines but also as analytical tools capable of interpreting vast data streams from IoT sensors,

Early results from a new study suggest that a simple saliva test with powerful artificial intelligence algorithms could help doctors identify ... But some patients carry genetic differences that prevent their bodies from breaking down the drug properly.

In its second edition this year, the Science Café series opens up conversations around autism care, exploring how genomics, AI, and personal experiences can come together to make a

Artificial Intelligence (AI) is rapidly reshaping the healthcare landscape, unlocking new possibilities for diagnosis, treatment,

AI and automation are revolutionizing biopharmaceutical manufacturing by enhancing efficiency, improving quality control and reducing human error. These technologies enable faster drug development, streamline regulatory compliance and optimize production processes, ensuring the delivery of high-quality biologics to patients worldwide.

Me’s genetic data may be for sale after bankruptcy. AI firms may want in—but privacy fears could make it a toxic asset.