A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
A deep-learning serial CT biomarker improves survival prediction in immunotherapy-treated NSCLC and outperforms RECIST. Find ...
Please provide your email address to receive an email when new articles are posted on . During two prospective evaluations, forecasts had a mean absolute error of 3.1 ...
Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography
Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially devastating storms whose heavy rainfall and powerful storm surges cause dangerous ...
The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...
Lightning is one of the primary causes of transmission line trips, posing a significant threat to the safety of power grids. However, due to the complexity and sporadic nature of lightning, achieving ...
Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...
Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography
Developing and Validating an Automatic Support System for Tumor Coding in Pathology Reports in Spanish Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include ...
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