Publications by authors named "G M Jain"

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

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Neurodegeneration in Huntington's disease (HD) is accompanied by the aggregation of fragments of the mutant huntingtin protein, a biomarker of disease progression. A particular pathogenic role has been attributed to the aggregation-prone huntingtin exon 1 (HTTex1), generated by aberrant splicing or proteolysis, and containing the expanded polyglutamine (polyQ) segment. Unlike amyloid fibrils from Parkinson's and Alzheimer's diseases, the atomic-level structure of HTTex1 fibrils has remained unknown, limiting diagnostic and treatment efforts.

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Surgical resection of non-functioning pituitary neuroendocrine tumors (NF-PitNET) is associated with new onset hormonal axis (HA) dysfunction, and factors predicting HA dysfunction are controversial, especially in large and giant NF-PitNET. Thus, we evaluated the postoperative hormonal function and assessed factors affecting HA dysfunction in patients with NF-PitNET. This prospective observational study involved 50 patients who underwent endoscopic surgical resection of NF-PitNET in the Department of Neurosurgery (April 2023-March 2024).

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Blockchain's transformative potential, its current applications, and the path forward for its integration into the healthcare ecosystem are all explored in the journal Blockchain in Healthcare Today. The healthcare industry is facing significant challenges and opportunities after COVID-19. As we navigate the complexities of increasing healthcare costs and technological updates for better patient outcomes, innovative technologies are emerging as pivotal tools for healthcare transformation.

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Aim: The present study is focused to investigate the role of Raman spectroscopy (RM) for cancer detection.

Methods: In this review, we explored a number of scientific databases including PubMed, Web of Science, Embase and Google Scholar for research studies on Raman spectroscopy for diagnosing cancer. We reported key outcomes of research studies conducted involving Raman spectroscopy for diagnosis of cancer and highlighting the potential of novel Raman spectroscopy for diagnosing cancer in our review.

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