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  1. Article ; Online: Don't miss the diagnosis: neurological manifestations as presenting features of COVID-19.

    Madan, Arina / Agarwal, Pinky / Ray, Sudeshna / Tyson, Brad

    Clinical medicine (London, England)

    2024  Volume 23, Issue Suppl 6, Page(s) 7

    MeSH term(s) Humans ; COVID-19/complications ; COVID-19/diagnosis ; Nervous System Diseases/etiology
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2048646-7
    ISSN 1473-4893 ; 1470-2118
    ISSN (online) 1473-4893
    ISSN 1470-2118
    DOI 10.7861/clinmed.23-6-s7
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    Zs.A 5439: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning.

    Agarwal, Pinky / Yadav, Anju / Mathur, Pratistha / Pal, Vipin / Chakrabarty, Amitabha

    publication RETRACTED

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 4357088

    Abstract: Detection of the presence and absence of bone invasion by the tumor in oral squamous cell carcinoma (OSCC) patients is very significant for their treatment planning and surgical resection. For bone invasion detection, CT scan imaging is the preferred ... ...

    Abstract Detection of the presence and absence of bone invasion by the tumor in oral squamous cell carcinoma (OSCC) patients is very significant for their treatment planning and surgical resection. For bone invasion detection, CT scan imaging is the preferred choice of radiologists because of its high sensitivity and specificity. In the present work, deep learning algorithm based model,
    MeSH term(s) Carcinoma, Squamous Cell/diagnostic imaging ; Deep Learning ; Humans ; Mouth Neoplasms/diagnostic imaging ; Radiologists ; Tomography, X-Ray Computed
    Language English
    Publishing date 2022-01-30
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/4357088
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  3. Article ; Online: Delineation of genes for a major QTL governing heat stress tolerance in chickpea.

    Mohanty, Jitendra K / Thakro, Virevol / Yadav, Antima / Nayyar, Harsh / Dixit, Girish P / Agarwal, Pinky / Parida, Swarup K / Jha, Uday Chand

    Plant molecular biology

    2024  Volume 114, Issue 2, Page(s) 19

    Abstract: Chickpea (Cicer arietinum) is a cool season grain legume experiencing severe yield loss during heat stress due to the intensifying climate changes and its associated gradual increase of mean temperature. Hence, understanding the genetic architecture ... ...

    Abstract Chickpea (Cicer arietinum) is a cool season grain legume experiencing severe yield loss during heat stress due to the intensifying climate changes and its associated gradual increase of mean temperature. Hence, understanding the genetic architecture regulating heat stress tolerance has emerged as an important trait to be addressed for enhancing yield and productivity of chickpea under heat stress. The present study is intended to identify the major genomic region(s) governing heat stress tolerance in chickpea. For this, an integrated genomics-assisted breeding strategy involving NGS-based high-resolution QTL-seq assay, QTL region-specific association analysis and molecular haplotyping was deployed in a population of 206 mapping individuals and a diversity panel of 217 germplasm accessions of chickpea. This combinatorial strategy delineated a major 156.8 kb QTL genomic region, which was subsequently narrowed-down to a functional candidate gene CaHSFA5 and its natural alleles associated strongly with heat stress tolerance in chickpea. Superior natural alleles and haplotypes delineated from the CaHSFA5 gene have functional significance in regulating heat stress tolerance in chickpea. Histochemical staining, interaction studies along with differential expression profiling of CaHSFA5 and ROS scavenging genes suggest a cross talk between CaHSFA5 with ROS homeostasis pertaining to heat stress tolerance in chickpea. Heterologous gene expression followed by heat stress screening further validated the functional significance of CaHSFA5 for heat stress tolerance. The salient outcomes obtained here can have potential to accelerate multiple translational genomic analysis including marker-assisted breeding and gene editing in order to develop high-yielding heat stress tolerant chickpea varieties.
    MeSH term(s) Humans ; Chromosome Mapping ; Quantitative Trait Loci/genetics ; Cicer/genetics ; Genome, Plant ; Reactive Oxygen Species ; Polymorphism, Single Nucleotide ; Plant Breeding ; Thermotolerance/genetics
    Chemical Substances Reactive Oxygen Species
    Language English
    Publishing date 2024-02-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 778032-1
    ISSN 1573-5028 ; 0167-4412
    ISSN (online) 1573-5028
    ISSN 0167-4412
    DOI 10.1007/s11103-024-01421-4
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3458: Show issues Location:
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  4. Article ; Online: Neurological manifestations in 404 COVID-19 patients in Washington State.

    Agarwal, Pinky / Ray, Sudeshna / Madan, Arina / Tyson, Brad

    Journal of neurology

    2020  Volume 268, Issue 3, Page(s) 770–772

    MeSH term(s) Adult ; Aged ; COVID-19/complications ; Female ; Humans ; Male ; Middle Aged ; Nervous System Diseases/virology ; SARS-CoV-2 ; Washington
    Keywords covid19
    Language English
    Publishing date 2020-08-06
    Publishing country Germany
    Document type Letter
    ZDB-ID 187050-6
    ISSN 1432-1459 ; 0340-5354 ; 0012-1037 ; 0939-1517 ; 1619-800X
    ISSN (online) 1432-1459
    ISSN 0340-5354 ; 0012-1037 ; 0939-1517 ; 1619-800X
    DOI 10.1007/s00415-020-10087-z
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  5. Article ; Online: Deep Brain Stimulation as an Exclusion Criterion in Parkinson's Disease Studies: Time to Rethink?

    Aquino, Camila / Luo, Lan / Agarwal, Pinky / Garg, Khushi / Rosenow, Joshua M / Corcos, Daniel M / Miocinovic, Svjetlana / Jimenez-Shahed, Joohi

    Movement disorders : official journal of the Movement Disorder Society

    2023  Volume 38, Issue 9, Page(s) 1602–1605

    MeSH term(s) Humans ; Parkinson Disease/therapy ; Deep Brain Stimulation ; Subthalamic Nucleus/physiology
    Language English
    Publishing date 2023-08-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 607633-6
    ISSN 1531-8257 ; 0885-3185
    ISSN (online) 1531-8257
    ISSN 0885-3185
    DOI 10.1002/mds.29554
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    Zs.A 2555: Show issues Location:
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    Zs.MO 238: Show issues

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  6. Article ; Online: Depression and Anxiety in Parkinson Disease.

    Ray, Sudeshna / Agarwal, Pinky

    Clinics in geriatric medicine

    2019  Volume 36, Issue 1, Page(s) 93–104

    Abstract: Depression and anxiety are common neuropsychiatric manifestations of Parkinson disease. However, they are often under-recognized because the somatic symptoms of depression often overlap with the motor symptoms of Parkinson disease and there is low self- ... ...

    Abstract Depression and anxiety are common neuropsychiatric manifestations of Parkinson disease. However, they are often under-recognized because the somatic symptoms of depression often overlap with the motor symptoms of Parkinson disease and there is low self-reporting. Clinicians need to be vigilant about early detection and treatment of anxiety and depression in the patient with Parkinson disease. The development of new therapeutic strategies, including diet, exercise, and counseling along with antidepressants provide a holistic approach to management.
    MeSH term(s) Aged ; Anxiety/etiology ; Anxiety/therapy ; Depression/etiology ; Depression/therapy ; Holistic Health ; Humans ; Parkinson Disease/psychology ; Parkinson Disease/therapy ; Patient Care Management/methods ; Quality of Life
    Language English
    Publishing date 2019-09-10
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1064151-8
    ISSN 1879-8853 ; 0749-0690
    ISSN (online) 1879-8853
    ISSN 0749-0690
    DOI 10.1016/j.cger.2019.09.012
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    Se 987: Show issues Location:
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  7. Article ; Online: BID-Net

    Pinky Agarwal / Anju Yadav / Pratistha Mathur / Vipin Pal / Amitabha Chakrabarty

    Computational Intelligence and Neuroscience, Vol

    An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning

    2022  Volume 2022

    Abstract: Detection of the presence and absence of bone invasion by the tumor in oral squamous cell carcinoma (OSCC) patients is very significant for their treatment planning and surgical resection. For bone invasion detection, CT scan imaging is the preferred ... ...

    Abstract Detection of the presence and absence of bone invasion by the tumor in oral squamous cell carcinoma (OSCC) patients is very significant for their treatment planning and surgical resection. For bone invasion detection, CT scan imaging is the preferred choice of radiologists because of its high sensitivity and specificity. In the present work, deep learning algorithm based model, BID-Net, has been proposed for the automation of bone invasion detection. BID-Net performs the binary classification of CT scan images as the images with bone invasion and images without bone invasion. The proposed BID-Net model has achieved an outstanding accuracy of 93.62%. The model is also compared with six Transfer Learning models like VGG16, VGG19, ResNet-50, MobileNetV2, DenseNet-121, ResNet-101 and BID-Net outperformed over the other models. As there exists no previous studies on bone invasion detection using Deep Learning models, so the results of the proposed model have been validated from the experts of practitioner radiologists, S.M.S. hospital, Jaipur, India.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Subject code 616 ; 006
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size.

    Mahto, Arunima / Yadav, Antima / P V, Aswathi / Parida, Swarup K / Tyagi, Akhilesh K / Agarwal, Pinky

    BMC biology

    2023  Volume 21, Issue 1, Page(s) 91

    Abstract: Background: Rice grain size (GS) is an essential agronomic trait. Though several genes and miRNA modules influencing GS are known and seed development transcriptomes analyzed, a comprehensive compendium connecting all possible players is lacking. This ... ...

    Abstract Background: Rice grain size (GS) is an essential agronomic trait. Though several genes and miRNA modules influencing GS are known and seed development transcriptomes analyzed, a comprehensive compendium connecting all possible players is lacking. This study utilizes two contrasting GS indica rice genotypes (small-grained SN and large-grained LGR). Rice seed development involves five stages (S1-S5). Comparative transcriptome and miRNome atlases, substantiated with morphological and cytological studies, from S1-S5 stages and flag leaf have been analyzed to identify GS proponents.
    Results: Histology shows prolonged endosperm development and cell enlargement in LGR. Stand-alone and comparative RNAseq analyses manifest S3 (5-10 days after pollination) stage as crucial for GS enhancement, coherently with cell cycle, endoreduplication, and programmed cell death participating genes. Seed storage protein and carbohydrate accumulation, cytologically and by RNAseq, is shown to be delayed in LGR. Fourteen transcription factor families influence GS. Pathway genes for four phytohormones display opposite patterns of higher expression. A total of 186 genes generated from the transcriptome analyses are located within GS trait-related QTLs deciphered by a cross between SN and LGR. Fourteen miRNA families express specifically in SN or LGR seeds. Eight miRNA-target modules display contrasting expressions amongst SN and LGR, while 26 (SN) and 43 (LGR) modules are differentially expressed in all stages.
    Conclusions: Integration of all analyses concludes in a "Domino effect" model for GS regulation highlighting chronology and fruition of each event. This study delineates the essence of GS regulation, providing scope for future exploits. The rice grain development database (RGDD) ( www.nipgr.ac.in/RGDD/index.php

    https://doi.org/10.5281/zenodo.7762870 ) has been developed for easy access of data generated in this paper.
    MeSH term(s) Transcriptome ; Oryza ; Seeds/genetics ; Gene Expression Profiling ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Gene Expression Regulation, Plant
    Chemical Substances MicroRNAs
    Language English
    Publishing date 2023-04-19
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2133020-7
    ISSN 1741-7007 ; 1741-7007
    ISSN (online) 1741-7007
    ISSN 1741-7007
    DOI 10.1186/s12915-023-01577-3
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  9. Article: Editorial: Genetics and Genomics to Enhance Crop Production, Towards Food Security.

    Kumar, Ajay / Mir, Reyazul Rouf / Sehgal, Deepmala / Agarwal, Pinky / Carter, Arron

    Frontiers in genetics

    2021  Volume 12, Page(s) 798308

    Language English
    Publishing date 2021-11-23
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2021.798308
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  10. Article ; Online: PSP-Like Phenotype in Genetically Confirmed SCA12.

    Chatterpal, Pinky / Radhakrishnan, Divya M / Garg, Ajay / Tripathi, Madhavi / Rajan, Roopa / Agarwal, Ayush / Pandit, Awadh K / Srivastava, Achal K

    Movement disorders clinical practice

    2022  Volume 10, Issue 2, Page(s) 326–328

    Language English
    Publishing date 2022-10-27
    Publishing country United States
    Document type Journal Article
    ISSN 2330-1619
    ISSN (online) 2330-1619
    DOI 10.1002/mdc3.13590
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