Recurrent event data are commonly encountered in longitudinal follow-up studies related to biomedical science, econometrics, reliability, and demography. In many studies, recurrent events serve as important measurements for evaluating disease progression, health deterioration, or insurance risk. When analyzing recurrent event data, an independent censoring condition is typically required for th...

The use of photograms provides a permanent record of microbiological assays in which diffusion of a substance in agar is measured. The accuracy of this procedure is comparable to direct measurement. This technique is inexpensive, does not require special photographic equipment, and is applicable to many tests commonly employed in clinical microbiology and immunology laboratories.

A curriculum in clinical pathology (CP) was developed under the auspices of the Academy of Clinical Laboratory Physicians and Scientists (ACLPS) in 2006. At the 2008 ACLPS meeting in Philadelphia, PA, a panel was convened to address the current challenges in resident education and how to overcome them. Current challenges include the heterogeneity of the discipline (which requires analytical, me...

Given genomic variation data from multiple individuals, computing the likelihood of complex population genetic models is often infeasible. To circumvent this problem, we introduce a novel likelihood-free inference framework by applying deep learning, a powerful modern technique in machine learning. Deep learning makes use of multilayer neural networks to learn a feature-based function from the ...

Background: Recent data regarding demography, clinical presentation and molecular diagnosis of leprosy patients are lacking in Bangladesh. Methods: A cross sectional study on 55 leprosy cases of 16–70 years old, both sexes was done. Ziehl-Neelsen (Z-N) stain, histopathology and PCR of skin specimens were done. Results: 40% patients were between 21–30 years, mean age 34·5 years, male to female r...