Md Habibur Rahman

ORCID: 0009-0002-6920-1188
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About
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Research Areas
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Chronic Kidney Disease and Diabetes
  • Renal Diseases and Glomerulopathies
  • Helicobacter pylori-related gastroenterology studies
  • Tryptophan and brain disorders
  • Kidney Stones and Urolithiasis Treatments
  • Eosinophilic Esophagitis
  • Protein Interaction Studies and Fluorescence Analysis
  • Neurological Disease Mechanisms and Treatments
  • Hepatitis B Virus Studies
  • Neuroscience and Neuropharmacology Research
  • Renal and Vascular Pathologies
  • Artificial Intelligence in Healthcare
  • Botulinum Toxin and Related Neurological Disorders
  • Renal Transplantation Outcomes and Treatments
  • Urinary Tract Infections Management
  • Acute Kidney Injury Research
  • Pain Mechanisms and Treatments
  • Diabetes and associated disorders
  • Drug Solubulity and Delivery Systems
  • Advanced Drug Delivery Systems
  • Cardiac Imaging and Diagnostics
  • Celiac Disease Research and Management
  • Nerve injury and regeneration
  • Neonatal and Maternal Infections

Jahangirnagar University
2025

Shahjalal University of Science and Technology
2024

Yonsei University
2024

American University
2024

Bangabandhu Sheikh Mujib Medical University
2014-2024

Rangpur Medical College
2024

People's University of Bangladesh
2024

Dinajpur Medical College
2020-2024

Johns Hopkins Medicine
2022-2023

Sir Salimullah Medical College
2021-2023

SUMMARY To assist physically disabled people with impaired upper limb function, we have developed a new 7-DOF exoskeleton-type robot named Motion Assistive Robotic-Exoskeleton for Superior Extremity ( ETS-MARSE ) to ease daily movements and provide effective rehabilitation therapy the superior extremity. The comprises shoulder motion support part, an elbow forearm wrist part. It is designed be worn on lateral side of in order naturalistic (vertical horizontal flexion/extension...

10.1017/s0263574714000034 article EN Robotica 2014-01-28

Protein tyrosine phosphatase 1B (PTP1B) is a member of the non-transmembrane phosphotyrosine family. Recently, PTP1B has been proposed to be novel target anti-cancer and anti-diabetic drugs. However, role in central nervous system not clearly understood. Therefore, this study, we sought define PTP1B's brain inflammation.

10.1186/s12974-016-0545-3 article EN cc-by Journal of Neuroinflammation 2016-04-19

Abstract Hypothalamic inflammation plays an important role in disrupting feeding behavior and energy homeostasis as well the pathogenesis of obesity diabetes. Here, we show that pyruvate dehydrogenase kinase (PDK)-2 a hypothalamic its sequelae mouse models Cell type-specific genetic ablation pharmacological inhibition PDK2 astrocytes suggest are involved diabetic phenotype. We also PDK2-lactic acid axis regulatory observed metabolic imbalance primary astrocyte organotypic cultures, through...

10.1038/s41467-020-19576-1 article EN cc-by Nature Communications 2020-11-20

Diabetic encephalopathy is a severe diabetes-related complication in the central nervous system (CNS) that characterized by degenerative neurochemical and structural changes leading to impaired cognitive function. While exact pathophysiology of diabetic not well-understood, it likely neuroinflammation one key pathogenic mechanisms cause this complication. Lipocalin-2 (LCN2) an acute phase protein known promote via recruitment activation immune cells glia, particularly microglia astrocytes,...

10.3389/fendo.2019.00025 article EN cc-by Frontiers in Endocrinology 2019-01-29

Aims: This study aims to create a robust machine learning model capable of accurately discerning the presence heart-related disorders. The aim this is find best classification that most suitable for predicting risk factors related heart disease. Study Design: Analytical cross-sectional study. Place and Duration Study: Department Statistics at Noakhali Science Technology University, three tertiary level hospitals Bangladesh (Noakhali General Hospital, Chittagong Medical College National...

10.9734/ajpas/2025/v27i2713 article EN Asian Journal of Probability and Statistics 2025-01-31

A site-oriented study of nine non-steroidal anti-inflammatory drugs (NSAIDs), suprofen, ibuprofen, diclofenac sodium, pirprofen, flurbiprofen, ketoprofen, phenylbutazone, oxyphenbutazone, and ketophenylbutazone, on human serum albumin (HSA) was carried out at pH 7.4 by various direct indirect methods to gain insight into the high affinity binding sites NSAIDs. The determined equilibrium dialysis, circular dichroism fluorescence in order strengthen results. Irrespective method used, close...

10.1248/bpb.16.1169 article EN Biological and Pharmaceutical Bulletin 1993-01-01

Abstract Cathelicidin‐related antimicrobial peptide (CRAMP) is an effector molecule of the innate immune system with direct and immunomodulatory activities; however, its role in neuroinflammatory responses related diseases not clearly understood. In particular, expression CRAMP functional has been previously studied experimental autoimmune encephalomyelitis (EAE) or multiple sclerosis (MS). Here, we investigated neuroinflammation, using EAE mouse model MS postmortem patient tissues. We found...

10.1002/glia.24227 article EN Glia 2022-06-07

Pyruvate dehydrogenase (PDH) kinases (PDKs) 1–4, expressed in peripheral and central tissues, regulate the activity of PDH complex (PDC). The PDC is an important mitochondrial gatekeeping enzyme that controls cellular metabolism. role PDKs diverse neurological disorders, including neurometabolic aberrations neurodegeneration, has been described. Implications for a inflammation coupling led us to investigate effect genetic ablation PDK2/4 on nociception mouse model acute inflammatory pain....

10.1002/jnr.23727 article EN Journal of Neuroscience Research 2016-03-01

This study examines the application of machine learning algorithms to enhance financial inclusion in microfinance, focusing on credit scoring, risk and fraud detection, customer segmentation. We performed feature engineering employed models such as Logistic Regression, Decision Trees, Random Forests, Gradient Boosting Machines (XGBoost LightGBM), Support Vector (SVM), Autoencoders, Isolation K-means Clustering. LightGBM achieved highest accuracy (89.6%) AUC (0.92) while Forests demonstrated...

10.55640/business/volume05issue11-02 article EN International Interdisciplinary Business Economics Advancement Journal 2024-11-06

Fat accumulation on the arteries' walls has become a serious health concern. This study conducted an in-depth hemodynamic analysis to identify regions of human carotid artery most susceptible fat or atherosclerosis, considering following factors: blood velocity, secondary flow regions, pressure, and wall shear stress. The used generalized geometric model analyze these factors at various locations within bifurcation over different time points. Results showed that region is comparatively more...

10.1016/j.heliyon.2024.e40286 article EN cc-by-nc Heliyon 2024-11-01

This study compares the performance of five machine learning algorithms—logistic regression, support vector machines, random forests, gradient boosting, and neural networks—for lung cancer prediction using demographic, lifestyle, medical data from UCI Machine Learning Repository. Gradient boosting forests achieved highest accuracy (89% 87%, respectively) AUC-ROC scores (0.93 0.92), while networks reached 90% but presented interpretability limitations. Key predictors included smoking history,...

10.37547/ijmsphr/volume05issue11-05 article EN International Journal of Medical Science and Public Health Research 2024-11-14

Finding causative genetic mutations is important in the diagnosis and treatment of hereditary peripheral neuropathies. This study was conducted to find new genes involved pathophysiology neuropathy. We identified a mutation EBP50 gene, which co-segregated with neuropathic phenotypes, including motor sensory deficit family Charcot-Marie-Tooth disease. known be for formation microvilli epithelial cells, discovery this gene allowed us function nervous system. strongly expressed nodal paranodal...

10.1002/glia.23805 article EN Glia 2020-02-20

Background: Injury is the number one public health problem in Lithuania terms of disability adjusted life years lost. The trauma system plays an important role injury statistics. objective this article to describe and assess performance Lithuanian sector. Methods: framework for assessing systems proposed by Murray Frenk (2000) was employed. Results: primary intention criterion—to reduce cases, related mortality rates 30% 2010—is well defined. whole-trauma sector does not substantially...

10.1093/eurpub/ckq184 article EN European Journal of Public Health 2010-12-01

Background: A large number of children with Urinary Tract Infection (UTI) are seen in the community by general practitioners , but there is frequently delay treatment and not all referred for further investigations. There evidence that many cases misdiagnosed. It important to optimize diagnostic management strategies. Result: UTI an cause acute illness, it may be a marker underlying urinary tract abnormality. Bacteria causes majority children- Escherichia coli most common (90%) bacterial...

10.3329/bjch.v36i2.13085 article EN Bangladesh Journal of Child Health 2012-12-22

In Bangladesh, the difficulties associated with waste management have taken on a major dimension during past several decades. The high population growth rate and rise in economic activity Bangladesh's metropolitan regions, along lack of training, make attempts to enhance services difficult. per capita, trash output urban residential areas is much greater than rural areas. nations' capacity collect, handle, dispose of, or recycle cost-effective way severely constrained. like rest globe, has...

10.34104/ajssls.022.0940105 article EN cc-by Asian Journal of Social Sciences and Legal Studies 2022-06-18
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