With the right prompts, AI chatbots can analyze biomedical big data accurately

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...

AI in neonatal intensive care units: Investigating its use and impact

A team of researchers from the SABIEN group at the ITACA Institute of the Universitat Politècnica de València (UPV) has led an international study that comprehensively analyzes the use and impact of ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
IEEE

Gradient-Guided Adaptive Perceptual Steganography using Deep Learning

Abstract: Lightweight CNNs and masking based on gradient are applied here in this paper's enhanced picture steganography method for added robustness and imperceptibility. The current method adjusts ...
IEEE

Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...