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This paper proposes a Gated Bottleneck Latent ODE combined with Multi-Path Just-In-Time Fine-Tuning and Raman data fusion to improve multi-day forecasting of mammalian cell culture processes, achieving better performance on real bioreactor data.
Researchers at MIT have developed PlasmoSniff, a breath test that uses nanoparticles and enhanced Raman spectroscopy to detect pneumonia and other lung conditions in minutes, potentially enabling rapid at-home or clinical diagnosis.
This review examines the role of machine learning across the biomedical Raman spectroscopy pipeline, from preprocessing and signal correction to clinical translation, highlighting barriers and future directions for reliable Raman-AI systems.