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Profil bibliographique

Rahul Kumar Das

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

112Publications signalées
4183Citations signalées
5Affiliations récentes

Les institutions déclarées

Les domaines associés

Protein Structure and DynamicsSpectroscopy Techniques in Biomedical and Chemical ResearchCarbon and Quantum Dots ApplicationsSpectroscopy and Chemometric AnalysesSecurity in Wireless Sensor Networks

Les publications récentes

Accès ouvert 2026 article OpenAlex

Raman spectroscopic identification of biochemical alterations in Alzheimer’s disease brain tissue

Samaneh Ghazanfarpour, Rahul Kumar Das, Ivanna Ihnatovych, Norbert Süle et autres

Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by chronic inflammation, neuronal loss, and continuous decline in memory and cognitive function. Raman Spectroscopy (RS) offers a powerful, label‑free approach for detecting early biochemical alterations in AD by generating highly sensitive …

us (code pays fourni par la source)

0 citations Acta Neuropathologica Communications
Accès ouvert 2026 article OpenAlex

Management and Outcomes of Neonatal Intestinal Atresia: A 12-Year Experience of a Tertiary Care Center

Rahul Kumar Das, Renu Kushwaha, Santosh Kumar, Juli Chand

Background: Neonatal intestinal atresia is an important cause of intestinal obstruction in newborns and usually requires early surgical treatment. Outcome depends on early diagnosis, timely referral, surgical care, and postoperative neonatal support. Aim: To evaluate the management and outcomes of neonatal intestinal …

in (code pays fourni par la source)

0 citations International Journal of Science and Research (IJSR)
Accès ouvert 2026 article OpenAlex

Raman spectroscopic signatures of prostate cancer progression: correlation with gleason score

Samaneh Ghazanfarpour, Rahul Kumar Das, Sharma Sd, Stanley A. Schwartz et autres

Prostate cancer (CaP) is a heterogeneous malignancy, and its grading via Gleason scoring is essential for prognosis and therapeutic decision‑making. However, traditional histopathological methods are limited in detecting subtle biochemical variations. This study applies Raman spectroscopy (RS) to formalin‑fixed paraffin‑embedded (FFPE) CaP …

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0 citations Molecular and Cellular Biochemistry
2026 article OpenAlex

Microbial Diversity and Bioactive Compounds of Traditional Fermented Foods from North-East India: Associations with Gut Microbiota and Metabolic Diseases

Pritam Bardhan, Dhirangkana Bora, Rahul Kumar Das, Manabendra Mandal et autres

Abstract: Growing evidence underscores the crucial role of the gut microbiota in health and well-being, driving considerable interest in dietary strategies to modulate its composition and function. Diets rich in fermented foods can provide probiotics, prebiotics, and bioactive compounds, that help maintain …

in (code pays fourni par la source)

0 citations Current Nutrition & Food Science
Accès ouvert 2026 article OpenAlex

Non-invasive Raman biomarkers for monitoring fentanyl-induced neurotoxicity in human microglia

Samaneh Ghazanfarpour, Rahul Kumar Das, Monireh Pourrahimi, Ravikumar Aalinkeel et autres

Abstract Fentanyl is a highly potent analgesic, but its abuse can result in physical dependency and addiction, which increases the risk for overdose and death. Fentanyl’s higher lipophilicity results in its increased accumulation in the brain, leading to increased central nervous system …

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0 citations NeuroImmune Pharmacology and Therapeutics
Accès ouvert 2026 article OpenAlex

Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach

Poolakkad S. Satheeshkumar, Ian Lango, Swarnali Zafo, Mikaiel Ebanks et autres

The public health impact of vaping in the United States reflects a complex balance of potential benefits and emerging risks, as e‑cigarettes may reduce exposure to toxic combustion byproducts and support adult smoking cessation, yet growing evidence links vaping to respiratory and …

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0 citations PLOS Digital Health
Accès ouvert 2026 preprint OpenAlex

Resetting optimized competitive first-passage outcomes in non-Markovian systems

Suvam Pal, Rahul Kumar Das, Arnab Pal

We investigate the role of stochastic resetting in non-Markovian systems, where memory effects arise due to slow relaxation, rugged energy landscapes, disordered environments, and molecular crowding. Using the celebrated continuous-time random walk (CTRW) framework, we analyze first-passage processes with multiple competing outcomes …

0 citations arXiv (Cornell University)
2026 article OpenAlex

Silane Modified Waste Fish Scales Compatibilized With Epoxidized Soybean Oil ( ESO ) for Developing Sustainable Bio ‐ Composites

Nupur Borah, Prithiviraj Patra, Rahul Kumar Das, Manabendra Mandal et autres

ABSTRACT Fish scale, a waste protein, is difficult to dispose of especially in developing countries. Utilizing this abundant yet underappreciated resource to develop bio composites is a great approach to reduce waste and carbon emissions while also increasing income by providing fish …

in (code pays fourni par la source)

1 citation Polymer Engineering and Science
Accès ouvert 2026 article OpenAlex

Complement at the Nano–Neuroimmune Interface: A Hypothesis-Driven Perspective on Opioid Use Disorder

Alexander Jacob, Harbir Singh, Poolakkad S. Satheeshkumar, Aum Champaneri et autres

The complement system is a central component of innate immunity with established roles in host defense and emerging functions in neurodevelopment, synaptic remodeling, and neuroimmune communication within the central nervous system (CNS). In parallel, advances in nanotechnology have not only enabled targeted …

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1 citation Immuno
Accès ouvert 2026 article OpenAlex

Utilizing Machine Learning for Raman Spectral Data Analysis of Brain Tissue

Samaneh Ghazanfarpour, Somayeh Ghazanfarpour, Monireh Porrahimi, Rahul Kumar Das et autres

Raman spectroscopy has shown great promise in classifying biomedical samples. While conventional spectral analysis techniques have been employed to extract meaningful patterns from Raman data, emerging developments in machine learning (ML) offer new opportunities to advance the field. We employed Raman spectroscopy …

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0 citations WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE

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