Integrated ensemble CNN and explainable AI for COVID-19 diagnosis from CT scan and X-ray images.

In light of the ongoing battle against COVID-19, while the pandemic may eventually subside, sporadic cases may still emerge, underscoring the need for accurate detection from radiological images. However, the limited explainability of current deep learning models restricts clinician acceptance. To address this issue, our research integrates multiple CNN models with explainable AI techniques, ensuring model interpretability before ensemble construction.

Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network.

Automatic and rapid screening of COVID-19 from the radiological (X-ray or CT scan) images has become an urgent need in the current pandemic situation of SARS-CoV-2 worldwide. However, accurate and reliable screening of patients is challenging due to the discrepancy between the radiological images of COVID-19 and other viral pneumonia. So, in this paper, we design a new stacked convolutional neural network model for the automatic diagnosis of COVID-19 disease from the chest X-ray and CT images.

Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification.

Deep learning (DL) has shown great success in the field of medical image analysis. In the wake of the current pandemic situation of SARS-CoV-2, a few pioneering works based on DL have made significant progress in automated screening of COVID-19 disease from the chest X-ray (CXR) images. But these DL models have no inherent way of expressing uncertainty associated with the model's prediction, which is very important in medical image analysis.

A novel frameshift deletion in causing sanfilipo type III-B in an Indian family.

Mucopolysaccharidoses are group of inherited lysosomal storage disorder. Two siblings of a family manifested behavioral abnormalities; hepatosplenomegaly and hypotonia of infantile onset were found to have a novel homozygous frameshift variation, p.Leu280TrpfsTer19 in .

A novel mutation in SGSH causing Sanfillipo type 3A Mucopolysaccharidoses in an Indian family.

Mucopolysaccharidoses (MPS) type III also termed as Sanfillipo syndrome, involves defect in enzymes required for degradation of heparan sulphate. We report a clinical case of MPS-III later followed by genetic investigation for MPS-III genes , , and It allowed us to identify a novel and likely pathogenic variant p. G205R in .

Western Indian Rural Gut Microbial Diversity in Extreme Endo-Phenotypes Reveals Signature Microbes.

Heterogeneity amidst healthy individuals at genomic level is being widely acknowledged. This, in turn, is modulated by differential response to environmental cues and treatment regimens, necessitating the need for stratified/personalized therapy. We intend to understand the molecular determinants of Ayurvedic way (ancient Indian system of medicine) of endo-phenotyping individuals into distinct constitution types termed " which forms the basis of personalized treatment.

Metabolic enzyme considerations in cancer therapy.

The clinical application of new antineoplastic drugs has been limited because of low therapeutic index and lack of efficacy in humans. Thus, improvement in efficacy of old and new anticancer drugs has been attempted by manipulating their pharmacokinetic properties. Four inter-related factors, which determine the pharmacokinetic behavior of a drug include absorption, distribution, metabolism and excretion.