Lovedeep Singh

ORCID: 0000-0002-2903-4293
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Tryptophan and brain disorders
  • Pain Mechanisms and Treatments
  • Pharmacological Effects of Natural Compounds
  • Fibromyalgia and Chronic Fatigue Syndrome Research
  • Stress Responses and Cortisol
  • Phytoestrogen effects and research
  • Cardiac Arrest and Resuscitation
  • Cholinesterase and Neurodegenerative Diseases
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Cardiac Ischemia and Reperfusion
  • Medicinal Plants and Neuroprotection
  • Biochemical effects in animals
  • Plant chemical constituents analysis
  • Anesthesia and Neurotoxicity Research
  • Ethnobotanical and Medicinal Plants Studies
  • MicroRNA in disease regulation
  • Computational Drug Discovery Methods
  • Essential Oils and Antimicrobial Activity
  • Healthcare and Venom Research
  • Cholesterol and Lipid Metabolism
  • Natural product bioactivities and synthesis
  • Neuropeptides and Animal Physiology
  • Insect and Pesticide Research
  • Phytochemistry and Bioactive Compounds
  • Morinda citrifolia extract uses

Chandigarh University
2023-2025

Guru Nanak Dev University
2019-2023

Central University of Punjab
2023

California State University, Fresno
2022-2023

Bridge University
2022

Guru Kashi University
2020

Punjabi University
2017-2018

Sant Longowal Institute of Engineering and Technology
2016

Abstract: Non-small cell lung cancer (NSCLC) includes various epithelial malignancies, such as squamous carcinoma, large and adenocarcinoma. Despite ad-vancements in surgical resection, chemoradiotherapy, multimodal therapies, NSCLC prognosis remains challenging due to its complex molecular landscape, drug resistance, high treatment costs. Recent research highlights the potential of natural compounds, particularly terpenes terpenoids, derived from essential oils (EOs), enhance treatment....

10.2174/0115680096353438250130070422 article EN Current Cancer Drug Targets 2025-02-14

Pain and depression have been assessed to co-occur in up 80% of patients, this comorbidity is more debilitating pricier for the patients as compared either these disorders alone. Aegle marmelos a well-known medicinal plant with broad spectrum pharmacological activities. Aegeline relatively unexplored molecule present marmelos. Therefore, current investigation aims explore potential fruit extract (AMFE) isolated aegeline against reserpine-induced pain–depression dyad. In investigation, was...

10.1021/acsomega.0c04739 article EN cc-by-nc-nd ACS Omega 2021-01-11

Background. Ficus benjamina L. is an evergreen tree, native to Southeast Asia, and often known as a weeping fig. Its latex fruit extracts are used by indigenous cultures cure skin conditions, inflammation, vomiting, leprosy, malaria, nasal ailments. The aqueous extract of the figs has various therapeutic values, including biological activities on central nervous system. Materials Methods. dried (FBE) was prepared defatting with petroleum ether for 16 h followed soxhelation 70% methanol (1 :...

10.1155/2023/6298366 article EN cc-by Journal of Chemistry 2023-01-30

This paper proposes to remotely estimate a human subject's blood pressure using millimeter-wave radar system. High is critical health threat that can lead diseases including heart attacks, strokes, kidney disease, and vision loss. The commonest method of measuring based on cuff contact-based, non-continuous, cumbersome wear. Continuous remote monitoring facilitate early detection treatment disease. investigates the possibility frequency-modulated continuous-wave measure by means pulse wave...

10.3390/s23146517 article EN cc-by Sensors 2023-07-19

Financial fraud is an increasing concern for both organizations and consumers as digital financial transactions become more prevalent. This presentation offers a comprehensive introduction to the computerized identification of fraudulent activity within transactions, examining methods technological advancements utilized prevent such actions. The research explores evolution detection systems, demonstrating how advanced automated frameworks leveraging machine learning (ML) artificial...

10.1109/aimla59606.2024.10531422 article EN 2024-03-15
Coming Soon ...