Studies on Genetic Diversity in Growth, Yield and Quality Traits in Tomato (Lycopersicon esculentum Mill.)

Evaluation of 35 genotypes of tomato for yield, quality and fruit characters under net-house revealed that PCV was higher than GCV for most traits. High heritability, with moderate to high GCV and genetic gain, was recorded for number of fruits per plant, yield per plant, fruit weight, number of fruit-clusters per plant, polar diameter and number of flower-clusters per plant indicating, that, these characters could be improved by simple selection. Total yield per plant had positive and highly significant correlation with number of fruit-clusters per plant, number of flowerclusters per plant and fruit weight. Number of locules per fruit showed positive and significant correlation with fruit weight and equatorial diameter but, significant negative correlation with polar diameter. Maximum direct contribution to total yield per plant was made by number of fruits per plant, followed by number of locules per fruit

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

International Consensus Statement on Rhinology and Allergy: Rhinosinusitis

Background: The 5 years since the publication of the first International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR‐RS) has witnessed foundational progress in our understanding and treatment of rhinologic disease. These advances are reflected within the more than 40 new topics covered within the ICAR‐RS‐2021 as well as updates to the original 140 topics. This executive summary consolidates the evidence‐based findings of the document. Methods: ICAR‐RS presents over 180 topics in the forms of evidence‐based reviews with recommendations (EBRRs), evidence‐based reviews, and literature reviews. The highest grade structured recommendations of the EBRR sections are summarized in this executive summary. Results: ICAR‐RS‐2021 covers 22 topics regarding the medical management of RS, which are grade A/B and are presented in the executive summary. Additionally, 4 topics regarding the surgical management of RS are grade A/B and are presented in the executive summary. Finally, a comprehensive evidence‐based management algorithm is provided. Conclusion: This ICAR‐RS‐2021 executive summary provides a compilation of the evidence‐based recommendations for medical and surgical treatment of the most common forms of RS

Depression and Anxiety following Coronary Artery Bypass Graft: Current Indian Scenario

Epidemiological studies have shown a high prevalence of coronary artery disease among the Indian Population. Due to increasing availability and affordability of tertiary care in many parts of India, carefully selected patients undergo coronary artery bypass surgery to improve cardiac function. However, the procedure is commonly associated with depression and anxiety which can adversely affect overall prognosis. The objective of this review is to highlight early identifiable symptoms of depression and anxiety following coronary artery bypass graft (CABG) in Indian context so as to facilitate prompt intervention for better outcome. The current review was able to establish firm evidence in support of screening for depression and anxiety following CABG. Management of depression and anxiety following CABG is briefly reviewed

Amalgamating psychiatric services with polyclinic in a multispecialty service hospital

Background: Provision of multitude of medical services under one roof is a norm in modern hospitals. However, in many service hospitals, psychiatric services are still confined within the premises of psychiatric wards. Due to the social stigma attached to psychiatric care many psychiatric patients avoid visiting the psychiatric ward for mental health care. The main objective of this study was to improve attendance in the psychiatric outpatient department (OPD) by making it accessible and acceptable for the clientele in a busy multispecialty service hospital. Materials and Methods: This retrospective study was carried out from January 1, 2009, to December 31, 2010. During the 1st year of the study (i.e., 2009), psychiatry OPD services continued in the psychiatry ward. From January 1, 2010, psychiatric OPD was shifted to polyclinic with a new name as “Department of behavioral sciences and deaddiction.” The data for the year 2009 and 2010 were compared using the Chi-square test. Results: There was a significant rise in the total number of new OPD patients from 522 to 1779 (P < 0.05) in 2010. Among various age groups, in 41–50 years of age group (144 [27.6%] vs. 574 [32.26%], P < 0.05) and those above 70 years (12 [2.29%] vs. 96 [5.39%], P < 0.05) the rise was highly significant. There was a significant increase in the number of patients with substance abuse (38 [7.27%] vs. 188 [10.56%], P < 0.05) and childhood and adolescent psychiatric disorders (42 [8.04%] vs. 213 [11.97%], P < 0.05). Conclusion: Amalgamation of psychiatric OPD services with other specialist OPD services in service hospital resulted in better utilization of psychiatric services

Anxiety and depression in parents of children and adolescents with intellectual disability

Background: Parents of the children and adolescents with intellectual disability (ID) are prone to psychological distress than as compared to parents of normally developing children and adolescents. Various biopsychosocial factors affect the perception and manifestation of this stress and influences difference in quality and severity in psychological outcomes. When a couple faces stress of caregiving as a unit, it is worthwhile to know and assess distribution pattern amongst the primary care giver and the other parent. Aim: The aim of the study is to evaluate the proportional distribution of depression and anxiety in primary care giver and the other parent in parents of children and adolescents with ID. Materials and Methods: Using a Cross-sectional observational study design, 99 parents (99 fathers and 98 mothers) of 99 children and adolescents (up to 18 yrs of age) with Intellectual Disability were assessed for Depressive and Anxiety symptoms using Hospital Anxiety and Depression Scale (HADS). Comparison of proportional distribution of psychiatric morbidity among fathers and mothers (primary care giver) was done using 2 independent sample proportion tests. Results: The mothers were found to be the primary care givers. 35.4% of fathers and 66.3% of mothers had significant depressive symptoms. 57.6% of fathers and 91.8% of mothers had significant anxiety symptoms. In 33 couples, fathers did not report anxiety or depressive symptoms but corresponding 27 mothers reported significant anxiety or depressive symptoms or both. In rest of the couples in whom fathers reported anxiety and/or depressive symptoms, the corresponding mothers also reported. In six couples where mothers did not report anxiety or depression, the fathers also did not report any anxiety or depressive symptoms. Conclusion: Depressive and Anxiety symptoms are very prevalent in parents of children with ID. Their proportion is significantly high in primary care giver (mother) as comparedto corresponding other parent (father). There is unequal distribution of anxiety and depression in these parents with a skew towards mother