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Found 7 papers, 1 papers with code
pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2
Recent advancements in protein structure prediction, particularly AlphaFold2, have revolutionized structural biology by achieving near-experimental accuracy ($\text{average RMSD} < 1. 5\text{\AA}$).
COVID-19: post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations
SARS-CoV-2, the highly contagious pathogen responsible for the COVID-19 pandemic, has persistent effects that begin four weeks after initial infection and last for an undetermined duration.
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy
By simulating different types of aberrations, including astigmatism, coma, spherical aberration, trefoil, and mixed aberrations, we conduct a thorough evaluation of various cell instance segmentation models using the DynamicNuclearNet (DNN) and LIVECell datasets, representing fluorescence and bright field microscopy cell datasets, respectively.
Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models.
Current and perspective sensing methods for monkeypox virus: a reemerging zoonosis in its infancy
Objectives The review is dedicated to evaluate the current monkeypox virus (MPXV) detection methods, discuss their pros and cons, and provide recommended solutions to the problems.
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Neural networks have been rapidly expanding in recent years, with novel strategies and applications.
RCMNet: A deep learning model assists CAR-T therapy for leukemia
Although testing on the CAR-T cells dataset, a decent performance is observed, which is attributed to the limited size of the dataset.
