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  1. Article ; Online: Prevalence of overweight/obesity in South Asia

    Avivar Awasthi / Akhila Bhandarkar Panduranga / Aditya Deshpande

    Clinical Epidemiology and Global Health, Vol 22, Iss , Pp 101316- (2023)

    A narrative review

    2023  

    Abstract: Introduction: Overweight (ov) and obesity (ob) are conditions associated with excess adipose tissue mass. Overweight and obese (ov/ob) individuals are at an increased risk for chronic complications like diabetes mellitus, cardiovascular disease, liver ... ...

    Abstract Introduction: Overweight (ov) and obesity (ob) are conditions associated with excess adipose tissue mass. Overweight and obese (ov/ob) individuals are at an increased risk for chronic complications like diabetes mellitus, cardiovascular disease, liver disease, malignancies, sleep apnoea, osteoarthritis, urinary incontinence, and psychosocial issues. The prevalence of ov/ob is increasing globally and in South Asia. This review provides an overview of prevalence of ov/ob in South Asia in adults and children 0–5 years of age. Methods: Data were retrieved from literature search including all national surveys published up to 1st January 2023, for South Asian countries (Afghanistan, Bangladesh, Bhutan, India, Maldives, Myanmar, Nepal, Pakistan, Sri Lanka). Specifically, national surveys conducted within the last 10 years were included. Results: The prevalence of ov/ob in adults and children 0–5 years of age ranged from 22.4 to 52.4%, and 1.3–7.6%, respectively. There was a higher prevalence seen in women, urban population, and higher socioeconomic status. Conclusion: The prevalence of ov/ob in South Asia is high and it may be even higher if Asian BMI cut-offs are applied to the surveyed population. Preventive strategies need to be tailored to the unique characteristics of ov/ob in South Asia.
    Keywords BMI ; Noncommunicable disease ; Obesity ; Overweight ; Prevalence ; South Asia ; Public aspects of medicine ; RA1-1270
    Subject code 950
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Publisher Correction

    Zoran Z. Gajic / Aditya Deshpande / Mateusz Legut / Marcin Imieliński / Neville E. Sanjana

    Nature Communications, Vol 13, Iss 1, Pp 1-

    Recurrent somatic mutations as predictors of immunotherapy response

    2022  Volume 1

    Keywords Science ; Q
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Machine learning for cognitive behavioral analysis

    Priya Bhatt / Amanrose Sethi / Vaibhav Tasgaonkar / Jugal Shroff / Isha Pendharkar / Aditya Desai / Pratyush Sinha / Aditya Deshpande / Gargi Joshi / Anil Rahate / Priyanka Jain / Rahee Walambe / Ketan Kotecha / N. K. Jain

    Brain Informatics, Vol 10, Iss 1, Pp 1-

    datasets, methods, paradigms, and research directions

    2023  Volume 37

    Abstract: Abstract Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists in effective communication with ... ...

    Abstract Abstract Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists in effective communication with others. Detection and differentiation between thoughts, feelings, and behaviours are paramount in learning to control our emotions and respond more effectively in stressful circumstances. The ability to perceive, analyse, process, interpret, remember, and retrieve information while making judgments to respond correctly is referred to as Cognitive Behavior. After making a significant mark in emotion analysis, deception detection is one of the key areas to connect human behaviour, mainly in the forensic domain. Detection of lies, deception, malicious intent, abnormal behaviour, emotions, stress, etc., have significant roles in advanced stages of behavioral science. Artificial Intelligence and Machine learning (AI/ML) has helped a great deal in pattern recognition, data extraction and analysis, and interpretations. The goal of using AI and ML in behavioral sciences is to infer human behaviour, mainly for mental health or forensic investigations. The presented work provides an extensive review of the research on cognitive behaviour analysis. A parametric study is presented based on different physical characteristics, emotional behaviours, data collection sensing mechanisms, unimodal and multimodal datasets, modelling AI/ML methods, challenges, and future research directions.
    Keywords Cognitive behavior analysis ; Multimodal AI ; Multimodal data fusion ; Affective computing ; Brain-inspired AI ; Deception detection ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Computer software ; QA76.75-76.765
    Subject code 120
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Laparoscopic drainage of sub phrenic abscess

    Ketan Vagholkar / Amish Pawanarkar / Balvinder Yadav / Aditya Deshpande / Suvarna Vagholkar

    International Journal of Research in Medical Sciences, Vol 4, Iss 9, Pp 4192-

    2016  Volume 4194

    Abstract: Sub phrenic collections are a common sequel to hepatobiliary surgery. Prompt diagnosis and treatment are necessary to reduce the morbidity and mortality to a bare minimum. Contrast enhanced CT (CECT) scan is the best imaging modality to identify the ... ...

    Abstract Sub phrenic collections are a common sequel to hepatobiliary surgery. Prompt diagnosis and treatment are necessary to reduce the morbidity and mortality to a bare minimum. Contrast enhanced CT (CECT) scan is the best imaging modality to identify the location and approximate size of the collection. Laparoscopic drainage is the best option for treating sub phrenic abscesses. A case of a sub phrenic abscess drained laparoscopically is presented to highlight the efficacy of this approach. [Int J Res Med Sci 2016; 4(9.000): 4192-4194]
    Keywords Sub phrenic abscess ; Dropped gall stones ; Laparoscopic treatment ; Medicine (General) ; R5-920 ; Medicine ; R
    Language English
    Publishing date 2016-09-01T00:00:00Z
    Publisher Medip Academy
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Uroplakin 3a+ Cells Are a Distinctive Population of Epithelial Progenitors that Contribute to Airway Maintenance and Post-injury Repair

    Arjun Guha / Aditya Deshpande / Aradhya Jain / Paola Sebastiani / Wellington V. Cardoso

    Cell Reports, Vol 19, Iss 2, Pp 246-

    2017  Volume 254

    Abstract: Summary: There is evidence that certain club cells (CCs) in the murine airways associated with neuroepithelial bodies (NEBs) and terminal bronchioles are resistant to the xenobiotic naphthalene (Nap) and repopulate the airways after Nap injury. The ... ...

    Abstract Summary: There is evidence that certain club cells (CCs) in the murine airways associated with neuroepithelial bodies (NEBs) and terminal bronchioles are resistant to the xenobiotic naphthalene (Nap) and repopulate the airways after Nap injury. The identity and significance of these progenitors (variant CCs, v-CCs) have remained elusive. A recent screen for CC markers identified rare Uroplakin3a (Upk3a)-expressing cells (U-CCs) with a v-CC-like distribution. Here, we employ lineage analysis in the uninjured and chemically injured lungs to investigate the role of U-CCs as epithelial progenitors. U-CCs proliferate and generate CCs and ciliated cells in uninjured airways long-term and, like v-CCs, after Nap. U-CCs have a higher propensity to generate ciliated cells than non-U-CCs. Although U-CCs do not contribute to alveolar maintenance long-term, they generate alveolar type I and type II cells after Bleomycin (Bleo)-induced alveolar injury. Finally, we report that Upk3a+ cells exist in the NEB microenvironment of the human lung and are aberrantly expanded in conditions associated with neuroendocrine hyperplasias. : Guha et al. demonstrate, using lineage analysis, that Uroplakin 3a+ club cells (U-CCs) contribute toward airway maintenance and post-injury repair and generate both club and ciliated cells. These progenitors can also contribute to alveolar repair after bleomycin injury. Keywords: variant club cells, neuroepithelial bodies, Uroplakin 3a, airway repair
    Keywords Biology (General) ; QH301-705.5
    Subject code 610
    Language English
    Publishing date 2017-04-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Strategies for identification of somatic variants using the Ion Torrent deep targeted sequencing platform

    Aditya Deshpande / Wenhua Lang / Tina McDowell / Smruthy Sivakumar / Jiexin Zhang / Jing Wang / F. Anthony San Lucas / Jerry Fowler / Humam Kadara / Paul Scheet

    BMC Bioinformatics, Vol 19, Iss 1, Pp 1-

    2018  Volume 10

    Abstract: Abstract Background ‘Next-generation’ (NGS) sequencing has wide application in medical genetics, including the detection of somatic variation in cancer. The Ion Torrent-based (IONT) platform is among NGS technologies employed in clinical, research and ... ...

    Abstract Abstract Background ‘Next-generation’ (NGS) sequencing has wide application in medical genetics, including the detection of somatic variation in cancer. The Ion Torrent-based (IONT) platform is among NGS technologies employed in clinical, research and diagnostic settings. However, identifying mutations from IONT deep sequencing with high confidence has remained a challenge. We compared various computational variant-calling methods to derive a variant identification pipeline that may improve the molecular diagnostic and research utility of IONT. Results Using IONT, we surveyed variants from the 409-gene Comprehensive Cancer Panel in whole-section tumors, intra-tumoral biopsies and matched normal samples obtained from frozen tissues and blood from four early-stage non-small cell lung cancer (NSCLC) patients. We used MuTect, Varscan2, IONT’s proprietary Ion Reporter, and a simple subtraction we called “Poor Man’s Caller.” Together these produced calls at 637 loci across all samples. Visual validation of 434 called variants was performed, and performance of the methods assessed individually and in combination. Of the subset of inspected putative variant calls (n=223) in genomic regions that were not intronic or intergenic, 68 variants (30%) were deemed valid after visual inspection. Among the individual methods, the Ion Reporter method offered perhaps the most reasonable tradeoffs. Ion Reporter captured 83% of all discovered variants; 50% of its variants were visually validated. Aggregating results from multiple packages offered varied improvements in performance. Conclusions Overall, Ion Reporter offered the most attractive performance among the individual callers. This study suggests combined strategies to maximize sensitivity and positive predictive value in variant calling using IONT deep sequencing.
    Keywords Next-generation sequencing ; Ion torrent ; Variant calling strategies ; Ion Reporter ; Varscan2 ; MuTect ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
    Subject code 616
    Language English
    Publishing date 2018-01-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Whole-genome characterization of lung adenocarcinomas lacking alterations in the RTK/RAS/RAF pathway

    Jian Carrot-Zhang / Xiaotong Yao / Siddhartha Devarakonda / Aditya Deshpande / Jeffrey S. Damrauer / Tiago Chedraoui Silva / Christopher K. Wong / Hyo Young Choi / Ina Felau / A. Gordon Robertson / Mauro A.A. Castro / Lisui Bao / Esther Rheinbay / Eric Minwei Liu / Tuan Trieu / David Haan / Christina Yau / Toshinori Hinoue / Yuexin Liu /
    Ofer Shapira / Kiran Kumar / Karen L. Mungall / Hailei Zhang / Jake June-Koo Lee / Ashton Berger / Galen F. Gao / Binyamin Zhitomirsky / Wen-Wei Liang / Meng Zhou / Sitapriya Moorthi / Alice H. Berger / Eric A. Collisson / Michael C. Zody / Li Ding / Andrew D. Cherniack / Gad Getz / Olivier Elemento / Christopher C. Benz / Josh Stuart / J.C. Zenklusen / Rameen Beroukhim / Jason C. Chang / Joshua D. Campbell / D. Neil Hayes / Lixing Yang / Peter W. Laird / John N. Weinstein / David J. Kwiatkowski / Ming S. Tsao / William D. Travis

    Cell Reports, Vol 34, Iss 8, Pp 108784- (2021)

    2021  

    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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