Large Language Models (LLMs) have emerged as powerful tools for interpreting multimodal data (e.g., images, audio, text), often surpassing specialized models. In medicine, they hold particular promise ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Raman spectroscopy enables real-time bioreactor monitoring of glucose and lactate without breaching the sterile boundary.

Explore the 2026 conversion strategy roadmap and discover data-driven approaches to optimize customer journeys, improve ...

This code is the official PyTorch implementation of our KDD'25 paper: DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. If you find this project helpful, please don't forget to give ...

Retrofitting legacy bioprocessing equipment with modern PAT tools requires targeted sensor, software, and change-control ...

Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...

Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...

Background and aims: The clinical course of inflammatory bowel disease is characterised by a succession of relapses and remissions. The aim of our study was to assess whether the predictive value of ...

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We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...