Enhanced residual-attention deep neural network for disease classification in maize leaf images.

Disease classification in maize plant is necessary for immediate treatment to enhance agricultural production and assure global food sustainability. Recent advancements in deep learning, specifically convolutional neural networks, have shown outstanding potential for image classification. This study presents Maize Net, a convolutional neural network model that precisely identifies diseases in maize leaves.

Ensuring integrity and security of medical image transmission in IoMT using highly imperceptible and robust watermarking approach.

With the technological revolution, the Internet of medical things (IoMT) has developed to be of immense benefit. In IoMT, medical images and patients' data are widely transmitted through private/public network. An ideal transmission should not jeopardize the security, confidentiality, authenticity, authorization, or integrity of medical data/images.

An Integrated Machine Learning Approach for Congestive Heart Failure Prediction.

Congestive heart failure (CHF) is one of the primary sources of mortality and morbidity among the global population. Over 26 million individuals globally are affected by heart disease, and its prevalence is rising by 2% yearly. With advances in healthcare technologies, if we predict CHF in the early stages, one of the leading global mortality factors can be reduced.

COVID-SegNet: encoder-decoder-based architecture for COVID-19 lesion segmentation in chest X-ray.

The coronavirus disease 2019, initially named 2019-nCOV (COVID-19) has been declared a global pandemic by the World Health Organization in March 2020. Because of the growing number of COVID patients, the world's health infrastructure has collapsed, and computer-aided diagnosis has become a necessity. Most of the models proposed for the COVID-19 detection in chest X-rays do image-level analysis.

Targeted silencing of the MCL-1 gene using multi-layered dendrimer-based nanoconstructs achieves efficient tumor regression in xenografted mice models.

The setback in the practical clinical use of RNA interference (RNAi)-based cancer treatment stems from the lack of targeted small interfering RNA (siRNA) delivery. Here, we show that luteinizing hormone-releasing hormone(LHRH) analog-tethered multi-layered polyamidoamine (PAMAM) nanoconstructs silence the anti-apoptotic MCL-1 gene in LHRH receptor overexpressing human breast (MCF-7) and prostate cancer (LNCaP) cells with 70.91 % and 74.

OWAE-Net: COVID-19 detection from ECG images using deep learning and optimized weighted average ensemble technique.

COVID-19 is an infectious disease that has cost millions of lives all over the world. A faster and safer diagnosis of COVID-19 is highly desirable in order to stop its spread. An electrocardiogram (ECG) signal-based diagnosis has shown its potential in the diagnosis of cardiac, stroke, and COVID-19.

Segmentation and classification on chest radiography: a systematic survey.

Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders. A trained radiologist is required for interpreting the radiographs. But sometimes, even experienced radiologists can misinterpret the findings.

FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images.

COVID-19 is an acronym for coronavirus disease 2019. Initially, it was called 2019-nCoV, and later International Committee on Taxonomy of Viruses (ICTV) termed it SARS-CoV-2. On 30th January 2020, the World Health Organization (WHO) declared it a pandemic.

Endometrial DNA damage response is modulated in endometriosis.

Study Question: Is the DNA damage response (DDR) dysregulated in the eutopic endometrium of women with endometriosis?

Summary Answer: Endometrial expression of genes involved in DDR is modulated in women with endometriosis, compared to those without the disease.

What Is Known Already: Ectopic endometriotic lesions are reported to harbour somatic mutations, thereby hinting at dysregulation of DDR and DNA repair pathways. However, it remains inconclusive whether the eutopic endometrium also manifests dysregulated DDR in endometriosis.

Acute pancreatitis, ascites, and acute renal failure in Plasmodium vivax malaria infection, a rare complication.

A 22-year-old male presented with 6 days history of intermittent fever with chills, 2 days history of upper abdomen pain, distension of abdomen, and decreased urine output. He was diagnosed to have Plasmodium vivax malaria, acute pancreatitis, ascites, and acute renal failure. These constellations of complications in P.

Retinal Hemorrhages in Severe Non-cerebral Plasmodium vivax Malaria in an Adult.

Malaria is the most important parasitic diseases of humans and one of the leading causes of morbidity and mortality in tropical countries. Earlier Plasmodium vivax was considered as a benign infection, but now it is recognized as a cause of severe malarial disease. It causes severe malarial disease similar to those as Plasmodium falciparum including cerebral malaria, severe anaemia, severe thrombocytopenia, hepatic dysfunction, shock, acute respiratory distress syndrome (ARDS), acute renal failure, and pulmonary oedema.

Successful use of flupirtine in refractory neuropathic pain due to small fiber neuropathy.

Small fiber neuropathy typically involves the small diameter nerve fibers, is usually idiopathic, and presents with peripheral pain. It can be excruciatingly painful at times despite the best of treatments. We present the case of a 22-year-old postoperative case of right frontoparietal oligodendroglioma who received multiple drugs for his severe neuropathic pain without significant relief.

Radio Frequency Ablation in Drug Resistant Chemotherapy-induced Peripheral Neuropathy: A Case Report and Review of Literature.

Chemotherapy-induced peripheral neuropathy (CIPN) is a frequently encountered complication. It can result from a host of agents. Various modalities of treatment have been advocated, of which a novel method is radio frequency ablation.

Prevalence of cataract type in relation to axial length in subjects with high myopia and emmetropia in an Indian population.

Purpose: To compare the prevalence of different types and densities of age-related cataract in subjects with high myopia and emmetropia in an Indian urban clinic-based population.

Design: Prospective, observational, clinic-based case-control study.

Methods: An observational case-control study of 800 healthy eyes was undertaken at Iladevi Cataract & IOL Research Center, Ahmedabad, India.