Research in the field of artificial intelligence (AI) in medicine is increasingly relying on algorithms based on deep learning (DL), especially for radiology.Despite producing promising results, DL models have a major drawback: their reliance on large training datasets.Especially in medicine, large, annotated datasets are hard to obtain, leading to
We use topological data analysis to investigate the three dimensional spatial structure of the locus of afferent neuron terminals in crickets Acheta domesticus.Each afferent neuron innervates a filiform hair positioned on a cercus: a protruding appendage at the rear of the animal.The hairs transduce air motion to the Baseball Caps neuron signal tha
Recurrent tumors originate from cancer stem cells (CSCs) that survive conventional treatments.CSCs consist of heterogeneous subpopulations that display distinct sensitivity to anticancer drugs.Such a heterogeneity presents a significant challenge in preventing tumor recurrence.In the current study, we observed that quiescent CUB-domain-containing p
Introduction Diagnosis of childhood tuberculosis (TB) poses several challenges.Therefore, clinical signs Chrome Powder and symptoms, radiological studies, laboratory examinations, point-based scoring systems or diagnostic algorithms have been developed to improve diagnostic yields in this population.However, there are limited data on the diagnostic