Publications by authors named "T K Nandi"

This study has been carried out using a novel mathematical model on the dynamics of tuberculosis (TB) transmission considering vaccination, endogenous re-activation of the dormant infection, and exogenous re-infection. We can comprehend the behavior of TB under the influence of vaccination from this article. We compute the basic reproduction number ( ) as well as the vaccination reproduction number ( ) using the next-generation matrix (NGM) approach.

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Transcranial ultrasonic stimulation (TUS) is rapidly gaining traction for non-invasive human neuromodulation, with a pressing need to establish protocols that maximise neuromodulatory efficacy. In this review, we aggregate and examine empirical evidence for the relationship between tunable TUS parameters and in vitro and in vivo outcomes. Based on this multiscale approach, TUS researchers can make better informed decisions about optimal parameter settings.

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While often represented as static entities, gene networks are highly context-dependent. Here, we developed a multi-task learning strategy to yield context-specific representations of gene network dynamics. We assembled a corpus comprising ~103 million human single-cell transcriptomes from a broad range of tissues and diseases and performed a two stage pretraining, first with non-malignant cells to generate a foundational model and then with continual learning on cancer cells to tune the model to the cancer domain.

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Article Synopsis
  • Transcranial ultrasonic stimulation (TUS) is a non-invasive technique showing promise for neuromodulation in humans, especially affecting motor cortical functions, although it’s been primarily tested in animals so far.
  • Recent studies indicated that the motor inhibition effects observed in humans may actually stem from peripheral auditory stimulation rather than direct neuromodulatory action of TUS.
  • The findings urge researchers to reassess prior studies that didn't control for auditory confounds and emphasize the need for rigorous experimental designs to ensure accurate interpretations in future TUS research.
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Article Synopsis
  • Human genetic studies often lack diversity, which limits understanding of disease causes and health disparities.
  • The Department of Veterans Affairs Million Veteran Program analyzed data from a diverse group of 635,969 veterans, revealing 13,672 genomic risk loci, with significant findings particularly from non-European populations.
  • The research identified causal variants across 613 traits, showing that genetic similarities exist across populations and emphasizing the importance of including underrepresented groups in genetic research.
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