Understanding disease biology at the subcellular level is key to precision medicine. ... Read more

Liver cirrhosis often goes undiagnosed until advanced stages, despite being a major global health burden. This technology introduces a machine learning–based algorithm that analyzes routine blood tests from electronic health records (EHR) to predict cirrhosis risk up to five years in advance. ... Read more

Diabetic macular edema (DME) and age-related macular degeneration (AMD) are the leading causes of blindness among working-age and elderly populations. ... Read more

Current contact-based monitoring devices cause patient discomfort, increase infection risks, and demand significant medical staff time. ... Read more

A Nonlinear Waveform Inversion (NWI) algorithm enhances ultrasound imaging by using Recurrent Neural Networks (RNNs) to reconstruct material properties from acquired signals. ... Read more

Understanding the complex interplay between the human host, gut microbiome, and diet is critical for diagnosing and treating diseases like IBD, celiac disease, and metabolic disorders. ... Read more

Numerous spectroscopic techniques rely on signal enhancement from nanoparticles linked to analyte molecules. However, existing surface-enhanced spectroscopies (SES) typically use nanoparticles dispersed in solution, making them unsuitable for solid substrates. ... Read more

CoLDR (Covalent Ligand-Directed Release) chemistry enables site-specific covalent labeling and activation of endogenous proteins using small-molecule covalent ligands. ... Read more

ALS is a severe neurodegenerative disorder with no cure and highly variable disease progression, which complicates clinical trial design and therapeutic development. ... Read more

Frontotemporal dementia (FTD) is difficult to diagnose due to overlapping symptoms with other neurodegenerative disorders, often leading to delays in treatment and clinical trial enrollment. ... Read more