Dr. Amarendranath Choudhury has completed his Ph. D from Assam University, India. Currently, he is working as an Assistant Professor at Dept. of Zoology, Patharkandi College. Dr. Choudhury’s research interest focuses on 1). Biochemical aspects of neurodegeneration, 2). Effect of diet on brain neurochemistry, 3). Ethnopharmacological approaches for neurotherapeutics, 4). Vesicular trafficking. Dr. Choudhury is having 9 years of Academic & Industrial research Experiences.
Disciplines
Green ChemistryChemical BiologyBiological PsychologyAbnormal PsychologyMolecular BiologyNeuroscienceZoology
Skills and expertise
NeurodegenerationHypercholesterolemiaEndosomal Sorting Complexes Required for TransportNeurobiochemistryNeuroprotective AgentsParkinson's DiseaseNeuropathologyNeurobiologyAlzheimer's DiseaseDiabetes ComplicationsBiochemistryActive Pharmaceutical Ingredients
RESEARCH, TEACHING, or OTHER INTERESTS
Health, Toxicology and Mutagenesis, Neuroscience, Neurology, Animal Science and Zoology
21
Scopus Publications
833
Scholar Citations
15
Scholar h-index
18
Scholar i10-index
Scopus Publications
Federated learning for private cancer diagnosis with exascale computing N. R. Vembu, Niladri Maiti, K. Kadiervel, Amarendranath Choudhury, Rajasekhar Pinnamaneni Federated Learning and Privacy Preserving in Healthcare AI, 2024 This study delves into the intersection of federated learning, privacy preservation, and exascale computing to advance the field of cancer diagnosis. Employing a federated learning framework, the research addresses the imperative need for collaborative, yet privacy-conscious, approaches to healthcare data analysis. Focusing on human cancer diagnosis and detection, the authors leverage the power of exascale computing to handle massive datasets distributed across diverse medical institutions. The proposed methodology ensures privacy by design, enabling secure model training without centralized data aggregation. The findings showcase the efficacy of federated learning and exascale computing in achieving accurate and timely cancer diagnoses while upholding patient privacy, thus paving the way for transformative advancements in personalized and secure healthcare analytics
IoT-Based Wrist Attitude Sensor Data for Parkinson's Disease Assessment for Healthcare System Amarendranath Choudhury, Sathish E., Dhilleshwara Rao Vana, L. Ganesh Babu Practical Artificial Intelligence for Internet of Medical Things Emerging Trends Issues and Challenges, 2023 A detection approach for Parkinson’s disease on-off period based on wrist posture is proposed to address the problem of high-precision drug on-off period detection for Parkinson’s disease patients in a universal medical scenario. To categorize the condition of Parkinson’s disease on-off phase, the motion IoT-based sensor data on the wrist is utilized to compute the attitude, get the information aspects of the wrist posture, and use it as the input of the convolutional neural network. Comparative experiments on clinical patient test data in the hospital show that using attitude information improves detection accuracy by 20.3% compared to the optimal results using motion sensor raw data; when compared to the current optimal network structure, the convolutional neural network used in this method maintains a similar detection accuracy (88.7%) but is reduced by 90.4%. Furthermore, investigations on free movement data of clinical patients in the hospital reveal that this system can accurately forecast the patient’s on-off state under unconstrained actions, with a 91.5% on-phase and 94.4% off-phase accuracy rate.
Efficacy of Metallic Nanoparticles and Nanocarriers as an Advanced Tool for Imaging and Diagnosis: Insight into Theranostic Applications Sripathi Sowmya Priya, Amarendranath Choudhury, Arvind Kumar, Nitesh Kumar, Chettupalli Ananda, et al. Nanoworld Journal, 2023 Sripathi Sowmya Priya, Amarendranath Choudhury, Archana, Arvind Kumar, Nitesh Kumar, Chettupalli Ananda and Mohammed Asadullah Jahangir The development of nanotechnology has brought diagnosis and therapy closer together, making theranostic compounds a promising area of study. Theranostic substances can both diagnose and treat a patient’s condition.
Understanding on CRISPR/Cas9 mediated cutting-edge approaches for cancer therapeutics Rudrarup Bhattacharjee, Lopamudra Das Roy, Amarendranath Choudhury Discover Oncology, 2022 The research focus on CRISPR/Cas9 has gained substantial concentration since the discovery of ‘an unusual repeat sequence’ reported by Ishino et al. (J Bacteriol 169:5429–5433, 1987) and the journey comprises the recent Nobel Prize award (2020), conferred to Emmanuelle Charpentier and Jennifer Doudna. Cumulatively, the CRISPR has a short, compact, and most discussed success of its application in becoming one of the most versatile and paradigm shifting technologies of Biological Research. Today, the CRISPR/Cas9 genome editing system is almost ubiquitously utilized in many facets of biological research where its tremendous gene manipulation capability has been harnessed to create miracles. From 2012, the CRISPR/Cas 9 system has been showcased in almost 15,000 research articles in the PubMed database, till date. Backed by some strong molecular evidence, the CRISPR system has been utilized in a few clinical trials targeted towards various pathologies. While the area covered by CRISPR is cosmic, this review will focus mostly on the utilization of CRISPR/Cas9 technology in the field of cancer therapy.
Identification and Classification of Prostate Cancer Identification and Classification Based on Improved Convolution Neural Network Shobha Tyagi, Neha Tyagi, Amarendranath Choudhury, Gauri Gupta, Musaddak Maher Abdul Zahra, Saima Ahmed Rahin Biomed Research International, 2022 Prostate cancer is one of the most common cancers in men worldwide, second only to lung cancer. The most common method used in diagnosing prostate cancer is the microscopic observation of stained biopsies by a pathologist and the Gleason score of the tissue microarray images. However, scoring prostate cancer tissue microarrays by pathologists using Gleason mode under many tissue microarray images is time-consuming, susceptible to subjective factors between different observers, and has low reproducibility. We have used the two most common technologies, deep learning, and computer vision, in this research, as the development of deep learning and computer vision has made pathology computer-aided diagnosis systems more objective and repeatable. Furthermore, the U-Net network, which is used in our study, is the most extensively used network in medical image segmentation. Unlike the classifiers used in previous studies, a region segmentation model based on an improved U-Net network is proposed in our research, which fuses deep and shallow layers through densely connected blocks. At the same time, the features of each scale are supervised. As an outcome of the research, the network parameters can be reduced, the computational efficiency can be improved, and the method’s effectiveness is verified on a fully annotated dataset.
RETRACTED: Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease-Based Neurodegenerative Disorders Suneet Gupta, V. Saravanan, Amarendranath Choudhury, Abdullah Alqahtani, Mohamed R. Abonazel, K. Suresh Babu Computational and Mathematical Methods in Medicine, 2022 Alzheimer’s disease is incurable at the moment. If it can be appropriately diagnosed, the correct treatment can postpone the patient’s illness. To aid in the diagnosis of Alzheimer’s disease and to minimize the time and expense associated with manual diagnosis, a machine learning technique is employed, and a transfer learning method based on 3D MRI data is proposed. Machine learning algorithms can dramatically reduce the time and effort required for human treatment of Alzheimer’s disease. This approach extracts bottleneck features from the M-Net migration network and then adds a top layer to supervised training to further decrease the dimensionality and delete portions. As a consequence, the transfer network presented in this study has several advantages in terms of computational efficiency and training time savings when used as a machine learning approach for AD-assisted diagnosis. Finally, the properties of all subject slices are combined and trained in the classification layer, completing the categorization of Alzheimer’s disease symptoms and standard control. The results show that this strategy has a 1.5 percentage point better classification accuracy than the one that relies exclusively on VGG16 to extract bottleneck features. This strategy could cut the time it takes for the network to learn and improve its ability to classify things. The experiment shows that the method works by using data from OASIS. A typical transfer learning network’s classification accuracy is about 8% better with this method than with a typical network, and it takes about 1/60 of the time with this method.
Deep Learning based Drowsiness Detection and Monitoring using Behavioural Approach P. William, Mohd Shamim, Ajay Reddy Yeruva, Durgaprasad Gangodkar, Swati Vashisht, Amarendranath Choudhury Proceedings of International Conference on Technological Advancements in Computational Sciences Ictacs 2022, 2022 Using deep learning and a behavioural approach, this study presents a real-time detection and monitoring system for tired drivers. The objective is to develop and build software that collects real-time driver behaviour while driving and trains it using convolutional neural networks (CNNs) to anticipate the driver's behaviour. An intelligent video-based gadget, a dataset of drowsy drivers, and CNN architecture were used to achieve this goal. MATLAB and a deep learning technology were used to implement the concepts. Tests revealed that the system has a 99.8% accuracy rate for detecting anomalies. A prototype model of the system was created using MATLAB.
Diabetes mellitus types: Key genetic determinants and risk assessment D. Vana, D. Adapa, Prasad Vss, Dr. Amarendranath Choudhury, G. Ahuja Genetics and Molecular Research, 2018 The characteristic symptom of diabetes is consistently elevated levels of blood sugar. This is instigated either by complete lack of insulin production (type 1 diabetes), reduced level of insulin production (type 2 diabetes) or insulin resistance (inability of body cells to take up glucose). Other types of diabetes include maturity onset of diabetes of the young (MODY), a form of type 2 diabetes and gestational diabetes which affects pregnant women mostly in second or third trimester. The term type-3-diabetes is now being used for insulin resistance in brain. Apart from environmental and dietary causes which pose the risk of diabetes, genetic constitution and gene mutations execute the manifestation of diabetes. So far, several hundreds of genes having genomic, metabolic and immunological functions have been associated with different forms of diabetes. Due to complexity in diabetes etiology, involvement of multiple genetic factors and overlap between phenotypes, the treatment for diabetes remains a major challenge. Single gene mutations can be potentially targeted therapeutically; however, the prevalence of single gene mutations in diabetic condition is rare. Comprehensive analysis of genes and genetic variants relevant to diabetes enables development of effective treatment or interventional strategies. The current literature survey was conducted and reviewed to identify studies that proposed the genetic basis for specific subtypes of diabetes and related complications. In addition, this review emphasizes the role of genome wide association studies and epigenetic factors. In the present review, we have identified some of the most significant protein encoding genes whose mutations have great impact in the development of diabetic condition. The characteristic features of these genes such as the risk level associated with the genes and inter-genic associations both in terms of position and functional proximity have been discussed. Additionally, genomic studies and epigenetic aspects have also been highlighted for wider comprehension of the diabetic condition from a genetic perspective. The present review would be of significance in prevention, screening, diagnosis, treatment and management of different forms of diabetes.
Federated learning and privacy-preserving in healthcare AI UK Lilhore, S Simaiya, M Poongodi, V Dutt IGI Global , 2024 2024 Citations: 11
Federated Learning for Private Cancer Diagnosis With Exascale Computing NR Vembu, N Maiti, K Kadiervel, A Choudhury, R Pinnamaneni Federated Learning and Privacy-Preserving in Healthcare AI, 179-194 , 2024 2024
Efficacy of metallic nanoparticles and nanocarriers as an advanced tool for imaging and diagnosis: insight into theranostic applications SS Priya, A Choudhury Int J Biomed Investig 2023; 6: 149. doi: 10.31531/2581-4745.1000149 2 e-ISSN … , 2023 2023 Citations: 5
Theranostic Applications of Functionalized Vesicular Carriers MA Jahangir, D Mohanty, A Choudhury, SS Imam Multifunctional And Targeted Theranostic Nanomedicines 1 (1), 49 , 2023 2023
Theranostic applications of functionalized vesicular carriers: theranostic applications of functionalized vesicular carriers (liposomes, niosomes, virosomes, ethosomes, phytosomes) MA Jahangir, D Mohanty, A Choudhury, SS Imam Multifunctional And Targeted Theranostic Nanomedicines: Formulation, Design … , 2023 2023 Citations: 16
Multifunctional And Targeted Theranostic Nanomedicines: Formulation, Design And Applications K Jain, NK Jain Springer Nature , 2023 2023
A method for detecting cancerous cells in asymptotic patients using monoclonal antibody drugs (https://patents.google.com/patent/ZA202301522B/en?oq=ZA202301522B) AK Sarangi, DA Choudhury, DDR Vana, MRN Sahoo, DWLV Barreto, ... ZA Patent ZA202,301,522 B , 2023 2023
IoT-Based Wrist Attitude Sensor Data for Parkinson's Disease Assessment for Healthcare System A Choudhury, E Sathish, DR Vana, LG Babu Practical Artificial Intelligence for Internet of Medical Things, 151-168 , 2023 2023 Citations: 2
Deep learning based drowsiness detection and monitoring using behavioural approach P William, M Shamim, AR Yeruva, D Gangodkar, S Vashisht, ... 2022 2nd international conference on technological advancements in … , 2022 2022 Citations: 70
Garcinia morella extract confers dopaminergic neuroprotection by mitigating mitochondrial dysfunctions and inflammation in mouse model of Parkinson’s disease A Dutta, BC Phukan, R Roy, MK Mazumder, R Paul, A Choudhury, ... Metabolic Brain Disease 37 (6), 1887-1900 , 2022 2022 Citations: 8
Understanding on CRISPR/Cas9 mediated cutting-edge approaches for cancer therapeutics Rudrarup Bhattacharjee, Lopamudra Das Roy, Amarendranath Choudhury Discover Oncology 13 (1), 45 , 2022 2022 Citations: 4
Discover Oncology R Bhattacharjee, LD Roy, A Choudhury 2022
Bruton’s Tyrosine Kinase (BTK)-Inhibitors in Cancer Therapeutics Amarendranath Choudhury, Rudrarup Bhattacharjee Global Journal of Oncologists 5 (1), 1-8 , 2021 2021
Askari, P Ayyappan, V K Abbott, K Abdullah, S Acar, N Agar, M Aghi, S Agnihotri, A Ahmed, ... Neuro-Oncology 3, i21-i24 , 2021 2021 Citations: 1
Neurobiology of Parkinson’s Disease: An Insight into Cholesterol Involvement Amarendranath Choudhury, Dattatreya Adapa Neurodegenerative Diseases, Symptoms and Treatment 1, 35-44 , 2020 2020
Role of Ginseng in therapeutic management of Alzheimer’s Disease Rudrarup Bhattacharjee, Amarendranath Choudhury The Neuroscience Chronicles 1 (01), 1-3 , 2020 2020
Molecular epidemiology and prevalence of Escherichia coli contamination in fresh vegetables sold at retails in Silchar, Assam, India Nath Mitul, Vandana Udaya Kumar, Choudhury Amarendranath, Adapa Dattatreya ... International Journal of Agricultural and Biological Sciences , 2019 2019 Citations: 3
Diabetes mellitus types: key genetic determinants and risk assessment DR Vana, D Adapa, VSS Prasad, A Choudhury, G Ahuja Genet Mol Res 18 (2), 27 , 2019 2019 Citations: 23
Nutritional components relevant to type-2-diabetes: Dietary sources, metabolic functions and glycaemic effects P VSS, D Adapa, DR Vana, A Choudhury, J Asadullah, A Chatterjee Journal of Research in Medical and Dental Science 6 (5), 52-75 , 2018 2018 Citations: 22
Understanding the Role of Resveratrol in Major Neurological and Lifestyle Diseases: An Insight into Molecular Mechanisms and Druggability. A Choudhury, R Bhattacharjee, D Adapa, I Chakraborty, TS Banerjee, ... Pharmaceutical BioProcessing 6 (2), 064–083 , 2018 2018 Citations: 7
MOST CITED SCHOLAR PUBLICATIONS
Neuroprotective potential of silymarin against CNS disorders: insight into the pathways and molecular mechanisms of action A Borah, R Paul, S Choudhury, A Choudhury, B Bhuyan, AD Talukdar, MD ... CNS neuroscience & therapeutics 19 (11), 847-853 , 2013 2013 Citations: 150
Cholesterol contributes to dopamine-neuronal loss in MPTP mouse model of Parkinson's disease: Involvement of mitochondrial dysfunctions and oxidative stress. A Choudhury*, R Paul*, S Kumar, A Giri, R Sandhir, A Borah PLoS One. 12 (2), e0171285 , 2017 2017 Citations: 110
Cholesterol–A putative endogenous contributor towards Parkinson's disease R Paul, A Choudhury, A Borah Neurochemistry international 90, 125-133 , 2015 2015 Citations: 73
Deep learning based drowsiness detection and monitoring using behavioural approach P William, M Shamim, AR Yeruva, D Gangodkar, S Vashisht, ... 2022 2nd international conference on technological advancements in … , 2022 2022 Citations: 70
Efficacy of Morin as a Potential Therapeutic Phytocomponent: Insights into the Mechanism of Action A Choudhury*, I Chakraborty, TS Banerjee, DR Vana, D Adapa Int J Med Res Health Sci 6 (11), 175-194 , 2017 2017 Citations: 59
Neurochemicals, Behaviours and Psychiatric Perspectives of Neurological Diseases A Choudhury, T Sahu, PL Ramanujam, AK Banerjee, I Chakraborty, ... Neuropsychiatry (London) 8 (1), 395-424 , 2018 2018 Citations: 51
Hypercholesterolemia causes psychomotor abnormalities in mice and alterations in cortico-striatal biogenic amine neurotransmitters: Relevance to Parkinson's disease A Choudhury*, R Paul*, DC Boruah, R Devi, P Bhattacharya, MD Choudhury, A Borah Neurochemistry International 108 (11), 15-26 , 2017 2017 Citations: 42
Cholesterol in Pancreatic β-Cell Death and Dysfunction: Underlying Mechanisms and Pathological Implications R Paul, A Choudhury, S Choudhury, MK Mazumder, A Borah Pancreas 45 (3), 317-324 , 2016 2016 Citations: 30
Artificial Intelligence in Biological Data I Chakraborty, A Choudhury*, TS Banerjee J Inform Tech Softw Eng 7 (207), 2 , 2017 2017 Citations: 28
Genetic diversity and antagonistic activity of plant growth promoting bacteria, isolated from tea-rhizosphere: a culture dependent study UK Vandana, A Chopra, A Choudhury, D Adapa, PB Mazumder Biomedical Research 29 (4), 853-864 , 2018 2018 Citations: 24
Transgenic plants: benefits and controversies AR Choudhury, K Das, S Ghosh, RN Mukherjee, R Banerjee J. Bot. Soc. Bengal 66, 29-35 , 2012 2012 Citations: 24
Diabetes mellitus types: key genetic determinants and risk assessment DR Vana, D Adapa, VSS Prasad, A Choudhury, G Ahuja Genet Mol Res 18 (2), 27 , 2019 2019 Citations: 23
Nutritional components relevant to type-2-diabetes: Dietary sources, metabolic functions and glycaemic effects P VSS, D Adapa, DR Vana, A Choudhury, J Asadullah, A Chatterjee Journal of Research in Medical and Dental Science 6 (5), 52-75 , 2018 2018 Citations: 22
L-DOPA treatment in MPTP-mouse model of Parkinson’s disease potentiates homocysteine accumulation in substantia nigra N Bhattacharjee, MK Mazumder, R Paul, A Choudhury, S Choudhury, A Borah Neuroscience letters 628, 225-229 , 2016 2016 Citations: 19
Theranostic applications of functionalized vesicular carriers: theranostic applications of functionalized vesicular carriers (liposomes, niosomes, virosomes, ethosomes, phytosomes) MA Jahangir, D Mohanty, A Choudhury, SS Imam Multifunctional And Targeted Theranostic Nanomedicines: Formulation, Design … , 2023 2023 Citations: 16
Neuroprotective effect of ayurvedic preparations and natural products on Parkinsons disease A Choudhury, R Paul, MK Mazumder, A Chetia, Swapnali, Borah Neuroprotect Nat Prod Clin Aspect Mod Act 1, 1-3 , 2017 2017 Citations: 14
CRISPR/Cas9 genome editing system in the diagnosis and treatment of cancer R Bhattacharjee, KD Purkayastha, D Adapa, A Choudhury* J RNAi Gene Silencing 13 (1), 545-551 , 2017 2017 Citations: 12
Federated learning and privacy-preserving in healthcare AI UK Lilhore, S Simaiya, M Poongodi, V Dutt IGI Global , 2024 2024 Citations: 11
Neuroprotective natural products: clinical aspects and mode of action G Brahmachari John Wiley & Sons , 2017 2017 Citations: 9
Garcinia morella extract confers dopaminergic neuroprotection by mitigating mitochondrial dysfunctions and inflammation in mouse model of Parkinson’s disease A Dutta, BC Phukan, R Roy, MK Mazumder, R Paul, A Choudhury, ... Metabolic Brain Disease 37 (6), 1887-1900 , 2022 2022 Citations: 8
