Retropupillary Iris Clip Intraocular Lenses: A Case Series of 57 Eyes.

Purpose: To report visual and refractive outcomes and intraoperative and postoperative complications after pars plana vitrectomy (PPV) with retropupillary implantation of an iris clip intraocular lens (IOL).

Methods: This is a retrospective case series of patients who underwent secondary retropupillary intraocular lens insertion combined with pars plana vitrectomy to treat aphakia secondary to a dislocated nucleus lens (group A); or IOL dislocation (group B). Patient demographics, preoperative visual and refractive outcomes, intraoperative factors, postoperative visual and refractive outcomes, and complications within the follow-up period ranging from 6 months up to 3 years postoperative, were recorded.

Optimizing pulmonary chest x-ray classification with stacked feature ensemble and swin transformer integration.

This research presents an integrated framework designed to automate the classification of pulmonary chest x-ray images. Leveraging convolutional neural networks (CNNs) with a focus on transformer architectures, the aim is to improve both the accuracy and efficiency of pulmonary chest x-ray image analysis. A central aspect of this approach involves utilizing pre-trained networks such as VGG16, ResNet50, and MobileNetV2 to create a feature ensemble.

Microhaplotypes: the QR-code for Plasmodium vivax infection dynamics.

An array of microhaplotypes - small segments of ≤200 nucleotides with heterozygous multiple-SNP exhibiting multiple allelic combinations - were identified in the Plasmodium vivax genome by Siegel et al. Interestingly, the microhaplotype has significant potential to distinguish relapse/reinfection and identify genetic relatedness across vivax-endemic areas. It is essential to validate the universal applicability of microhaplotypes.

A Proteomic Analysis of Nasopharyngeal Carcinoma in a Moroccan Subpopulation.

Background: Nasopharyngeal carcinoma (NPC) is a distinct cancer of the head and neck that is highly prevalent in Southeast Asia and North Africa. Though an extensive analysis of environmental and genetic contributors has been performed, very little is known about the proteome of this disease. A proteomic analysis of formalin-fixed paraffin-embedded (FFPE) tissues can provide valuable information on protein expression and molecular patterns for both increasing our understanding of the disease and for biomarker discovery.

Corrigendum: Genomic surveillance and phylodynamic analyses reveal the emergence of novel mutations and co-mutation patterns within SARS-CoV-2 variants prevalent in India.

[This corrects the article DOI: 10.3389/fmicb.2021.

Prospector Heads: Generalized Feature Attribution for Large Models & Data.

Feature attribution, the ability to localize regions of the input data that are relevant for classification, is an important capability for ML models in scientific and biomedical domains. Current methods for feature attribution, which rely on "explaining" the predictions of end-to-end classifiers, suffer from imprecise feature localization and are inadequate for use with small sample sizes and high-dimensional datasets due to computational challenges. We introduce prospector heads, an efficient and interpretable alternative to explanation-based attribution methods that can be applied to any encoder and any data modality.

Critical insights on "Association of the C allele of rs479200 in the EGLN1 gene with COVID‑19 severity in Indian population: a novel finding".

The recent article by Harit et al. in Human Genomics reported a novel association of the C allele of rs479200 in the human EGLN1 gene with severe COVID-19 in Indian patients. The gene in context is an oxygen-sensor gene whose T allele has been reported to contribute to the inability to cope with hypoxia due to increased expression of the EGLN1 gene and therefore persons with TT genotype of EGLN1 rs479200 are more susceptible to severe manifestations of hypoxia.

Examination of the role of mutualism in immune evasion.

Though the earliest stages of oncogenesis, post initiation, are not well understood, it is generally appreciated that a successful transition from a collection of dysregulated cells to an aggressive tumour requires complex ecological interactions between cancer cells and their environment. One key component of tumorigenesis is immune evasion. To investigate the interplay amongst the ecological behaviour of mutualism and immune evasion, we used a computational simulation framework.

AZGP1 deficiency promotes angiogenesis in prostate cancer.

Background: Loss of AZGP1 expression is a biomarker associated with progression to castration resistance, development of metastasis, and poor disease-specific survival in prostate cancer. However, high expression of AZGP1 cells in prostate cancer has been reported to increase proliferation and invasion. The exact role of AZGP1 in prostate cancer progression remains elusive.

Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images.

Prostate cancer is a highly heterogeneous disease, presenting varying levels of aggressiveness and response to treatment. Angiogenesis is one of the hallmarks of cancer, providing oxygen and nutrient supply to tumors. Micro vessel density has previously been correlated with higher Gleason score and poor prognosis.

Towards a circular economy: Development of a support tool for designing reverse logistics systems.

Reverse Logistics (RL) of end-of-use/end-of-life products is a key approach for supporting the transition to a circular economy. However, lack of knowledge and experience in designing RL is one of the barriers for companies in implementing successful RL. This research proposes an RL support tool (RLST) for designing RL systems, developed through iterative cycles of theoretical development and empirical testing/feedback from potential users.

Donor-Derived Cell-Free DNA as a Non-Invasive Biomarker for Graft Rejection in Kidney Transplant Recipients: A Prospective Study among the Indian Population.

Monitoring graft health and detecting graft rejection is crucial for the success of post-transplantation outcomes. In Western countries, the use of donor-derived cell-free DNA (dd-cfDNA) has gained widespread recognition as a diagnostic tool for kidney transplant recipients. However, the role of dd-cfDNA among the Indian population remains unexplored.

Unilateral Diffuse Alveolar Hemorrhage as an Initial Presentation of Microscopic Polyangiitis.

Diffuse alveolar hemorrhage (DAH) is a life-threatening condition due to widespread damage to small pulmonary vessels commonly caused by systemic vasculitis. Alveolar involvement is typically multi-lobar and bilateral. It frequently presents as bilateral diffuse airspace opacities on chest imaging.

An Inflection Point in Cancer Protein Biomarkers: What was and What's Next.

Biomarkers remain the highest value proposition in cancer medicine today-especially protein biomarkers. Despite decades of evolving regulatory frameworks to facilitate the review of emerging technologies, biomarkers have been mostly about promise with very little to show for improvements in human health. Cancer is an emergent property of a complex system, and deconvoluting the integrative and dynamic nature of the overall system through biomarkers is a daunting proposition.

The trend of forest ecosystem services assessment in eastern India: a review for future research insights.

Ecosystem services (ES) are becoming a burgeoning topic presently playing a crucial role in sustaining human well-being, socioeconomic growth, and addressing environmental management and sustainability. The purpose of our review was to overview research trends of the forest ecosystem services (FES) in eastern India and the research methodologies adopted to evaluate them. To systematically study the FES literature, 127 articles pertaining to the term FES during the period 1991 to 2021 were reviewed through a quantitative analysis.

Antimalarial Drug Resistance Profiling of Infections in India Using Next-Generation Sequencing.

Background: Tracking the emergence and spread of antimalarial drug resistance has become critical to sustaining progress towards the control and eventual elimination of malaria in South Asia, especially India.

Methods: An amplicon sequencing protocol was used for high-throughput molecular surveillance of antimalarial drug resistance in a total of 158 isolates at three sites in India: Chennai, Nadiad and Rourkela. Five genes of the implicated in antimalarial resistance were investigated here; for chloroquine resistance, for pyrimethamine resistance, for sulfadoxine resistance, for artemisinin resistance and for resistance to multiple antimalarials.

Knowledge, Awareness and Prevalence of Hepatitis B Among Urban Slum Dwellers and Residents of Social Welfare Home: A Cross sectional Study From Eastern India.

Background/aims: In view of limited data on the knowledge and awareness of hepatitis B virus (HBV) and the available preventive strategies at the community level, it was aimed to analyse the knowledge and awareness of HBV in the community.

Methods: A cross-sectional questionnaire-based survey was conducted among residents of an urban slum and a social welfare home in Bhubaneswar, Odisha, from October 2019 to April 2021. The prevalence of HBV infection was also measured by testing the serum positivity for hepatitis B surface antigen using rapid point-of-care test kits.

Molecular Tools for Early Detection of Invasive Malaria Vector Anopheles stephensi Mosquitoes.

Reports of the expansion of the Asia malaria vector Anopheles stephensi mosquito into new geographic areas are increasing, which poses a threat to the elimination of urban malaria. Efficient surveillance of this vector in affected areas and early detection in new geographic areas is key to containing and controlling this species. To overcome the practical difficulties associated with the morphological identification of immature stages and adults of An.

Closing the loop: Establishing reverse logistics for a circular economy, a systematic review.

Reverse Logistics (RL) of end-of-use/end-of-life products has become a vital part of circular economy practices for manufacturers. However, significant quantities of resources are still landfilled instead of being recovered. With mounting pressure on businesses to address the sustainability crises (resources, climate change, waste, toxicity) on account of the take-make-dispose-based linear economy, companies today realise the importance of RL but face several barriers to implementing it, including a lack of knowledge.

Development of Human Pituitary Neuroendocrine Tumor Organoids to Facilitate Effective Targeted Treatments of Cushing's Disease.

(1) Background: Cushing's disease (CD) is a serious endocrine disorder caused by an adrenocorticotropic hormone (ACTH)-secreting pituitary neuroendocrine tumor (PitNET) that stimulates the adrenal glands to overproduce cortisol. Chronic exposure to excess cortisol has detrimental effects on health, including increased stroke rates, diabetes, obesity, cognitive impairment, anxiety, depression, and death. The first-line treatment for CD is pituitary surgery.

A flexible electronic strain sensor for the real-time monitoring of tumor regression.

Assessing the efficacy of cancer therapeutics in mouse models is a critical step in treatment development. However, low-resolution measurement tools and small sample sizes make determining drug efficacy in vivo a difficult and time-intensive task. Here, we present a commercially scalable wearable electronic strain sensor that automates the in vivo testing of cancer therapeutics by continuously monitoring the micrometer-scale progression or regression of subcutaneously implanted tumors at the minute time scale.

A rare case of Curtobacterium flaccumfaciens infection in the eye: a case report.

Purpose: To report a rare case of microbial keratitis caused by Curtobacterium flaccumfaciens (C. flaccumfaciens) infection.

Methods And Results: A 24-year-old male presented with pain and redness of the eye following ocular exposure to banana bell sap.

Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization.

Trajectory optimization is a fundamental stochastic optimal control (SOC) problem. This article deals with a trajectory optimization approach for dynamical systems subject to measurement noise that can be fitted into linear time-varying stochastic models. Exact/complete solutions to these kind of control problems have been deemed analytically intractable in literature because they come under the category of partially observable Markov decision processes (MDPs).

First report of classical knockdown resistance (kdr) mutation, L1014F, in human head louse Pediculus humanus capitis (Phthiraptera: Anoplura).

There are at least three known knockdown resistance (kdr) mutations reported globally in the human head louse Pediculus humanus capitis De Geer (Phthiraptera: Anoplura) that are associated with reduced sensitivity to pyrethroids. However, the prevalence of kdr mutation in head lice is not known in the Indian subcontinent. To identify kdr mutations in the Indian head lice population, the genomic region of the voltage-gated sodium channel gene encompassing IIS1-2 linker to IIS6 segments was PCR-amplified and sequenced from P.

Nano-omics: nanotechnology-based multidimensional harvesting of the blood-circulating cancerome.

Over the past decade, the development of 'simple' blood tests that enable cancer screening, diagnosis or monitoring and facilitate the design of personalized therapies without the need for invasive tumour biopsy sampling has been a core ambition in cancer research. Data emerging from ongoing biomarker development efforts indicate that multiple markers, used individually or as part of a multimodal panel, are required to enhance the sensitivity and specificity of assays for early stage cancer detection. The discovery of cancer-associated molecular alterations that are reflected in blood at multiple dimensions (genome, epigenome, transcriptome, proteome and metabolome) and integration of the resultant multi-omics data have the potential to uncover novel biomarkers as well as to further elucidate the underlying molecular pathways.