Sruthi Sivakumar

ORCID: 0000-0003-0649-8551
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About
Contact & Profiles
Research Areas
  • Osteoarthritis Treatment and Mechanisms
  • Nutrition and Health in Aging
  • Muscle Physiology and Disorders
  • Parathyroid Disorders and Treatments
  • Extracellular vesicles in disease
  • Cardiovascular Health and Risk Factors
  • Knee injuries and reconstruction techniques
  • Genetics, Aging, and Longevity in Model Organisms
  • Artificial Intelligence in Healthcare
  • Mental Health Research Topics
  • Inflammatory mediators and NSAID effects
  • DNA and Nucleic Acid Chemistry
  • Spaceflight effects on biology
  • Protease and Inhibitor Mechanisms
  • Data Analysis with R
  • Gene Regulatory Network Analysis
  • Scientific Computing and Data Management
  • Indoor and Outdoor Localization Technologies
  • bioluminescence and chemiluminescence research
  • Privacy, Security, and Data Protection
  • Privacy-Preserving Technologies in Data
  • Genetic Syndromes and Imprinting
  • Neuroethics, Human Enhancement, Biomedical Innovations
  • dental development and anomalies
  • Access Control and Trust

Coherus BioSciences (United States)
2024

University of Pittsburgh
2020-2022

Bioengineering Center
2022

PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH
2017-2020

Amrita Vishwa Vidyapeetham
2018

To gain insight into how researchers of aging perceive the process they study, we conducted a survey among experts in field. While highlighting some common features aging, exposed broad disagreement on foundational issues. What is aging? causes it? When does it begin? constitutes rejuvenation? Not only was there no consensus these and other core questions, but none questions received majority opinion-even regarding need for itself. Despite many believing understand their understanding...

10.1093/pnasnexus/pgae499 article EN cc-by-nc PNAS Nexus 2024-11-28

Aging is accompanied by disrupted information flow, resulting from accumulation of molecular mistakes. These mistakes ultimately give rise to debilitating disorders including skeletal muscle wasting, or sarcopenia. To derive a global metric growing ‘disorderliness’ aging muscle, we employed statistical physics approach estimate the state parameter, entropy, as function genes associated with hallmarks aging. Escalating network entropy reached an inflection point at old age, while structural...

10.7554/elife.61138 article EN cc-by eLife 2021-04-20

The technical literature about data privacy largely consists of two complementary approaches: formal definitions conditions sufficient for preservation and attacks that demonstrate breaches. Differential is an accepted standard in the former sphere. However, differential privacy's powerful adversarial model worst-case guarantees may make it too stringent some situations, especially when achieving comes at a significant cost to utility. Meanwhile, aim expose real worrying risks associated...

10.48550/arxiv.2502.02709 preprint EN arXiv (Cornell University) 2025-02-04

The stiffening of the extracellular matrix (ECM) with age hinders muscle regeneration by causing intrinsic stem cell (MuSC) dysfunction through a poorly understood mechanism. Here, study aims to those age-related molecular changes in differentiation MuSCs due and/or stiffness. Hence, young and aged are seeded onto substrates engineered mimic soft stiff ECM microenvironment using single-cell RNA sequencing (scRNA). trajectory scRNA data under four different conditions undergoing is analyzed...

10.1002/adbi.202400334 article EN cc-by-nc Advanced Biology 2024-11-27

Maintenance of organismal function requires tightly regulated biomolecular communication. However, with aging, communication deteriorates, thereby disrupting effective information flow. Using theory applied to skeletal muscle single cell RNA-seq data from young, middle-aged, and aged animals, we quantified the loss efficiency over time. We considered channels between transcription factors (TF; input message) corresponding target genes (TG; output message). Mutual (MI), defined as effectively...

10.1101/2022.07.18.500243 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-07-20

Localization in wireless sensor networks (WSNs) is one of the most important fundamental requisite that needs to be resolved efficiently as it plays a significant role many applications namely environmental monitoring, routing and target tracking which all location dependent. The main idea localization some deployed nodes with known coordinates termed anchor transmit beacons their order help other sensing field localize themselves. Broadly there are two types methods used for calculating...

10.2139/ssrn.2942418 article EN SSRN Electronic Journal 2017-01-01

The current evolutionary usage of data mining techniques can be imparted for the development medical applications to analyse health metric. web-based decision support framework proposed in this work would provide pre-guidance report based on generated by Bayesian network analysis over disease dataset. is adherence mined patterns patient's non-medical and factors which are obtained from past records predict possibility getting given similar metrics. model builds a analysing casual...

10.1504/ijbis.2020.109023 article EN International Journal of Business Information Systems 2020-01-01

ABSTRACT Aging is accompanied by a disrupted information flow, which results from accumulation of molecular mistakes. These mistakes ultimately give rise to debilitating disorders such as skeletal muscle wasting, or sarcopenia. To estimate the growing “disorderliness” aging system, we employed statistical physics approach state parameter, entropy, function genes associated with hallmarks aging. Although most prominent structural and functional alterations were observed in oldest old mice...

10.1101/2020.07.22.207043 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-07-24

The current evolutionary usage of data mining techniques can be imparted for the development medical applications to analyse health metric. web-based decision support framework proposed in this work would provide pre-guidance report based on generated by Bayesian network analysis over disease dataset. is adherence mined patterns patient's non-medical and factors which are obtained from past records predict possibility getting given similar metrics. model builds a analysing casual...

10.1504/ijbis.2020.10031213 article EN International Journal of Business Information Systems 2020-01-01

Abstract Increased mechanistic insight into the pathogenesis of knee osteoarthritis (KOA) is needed to develop efficacious disease-modifying treatments. Though age-related pathogenic mechanisms are most relevant great majority KOA seen clinically, bulk our understanding has been derived using surgically induced post-traumatic OA (PTOA) models. Here, we took an integrated approach meta-analysis and multi-omics elucidate in murine model. Protein-level data together with transcriptomic...

10.1101/2021.05.06.442993 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-05-07
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