Nature Search

Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy

Sakata et al. performed a prospective personalized mechanistic computational (digital twin) study focused on characterizing the arrhythmogenic properties of the atrial fibrotic substrate in patients with persistent atrial fibrillation, and they introduce here a novel mechanism-oriented strategy for optimal ablation.

Kensuke Sakata
Ryan P. Bradley
Natalia A. Trayanova
ResearchOpen Access18 Jun 2024
Nature Cardiovascular Research

Volume: 3, P: 857-868
Large Area Fabrication of Semiconducting Phosphorene by Langmuir-Blodgett Assembly

Harneet Kaur
Sandeep Yadav
Ritu Srivastava
ResearchOpen Access27 Sept 2016
Scientific Reports

Volume: 6, P: 1-8
Classification of cotton leaf disease using YOLOv8 based k-fold cross validation deep learning method for precision agriculture

Kamaldeep Joshi
Yashasvi Yadav
Sarvajeet Singh Gill
ResearchOpen Access13 Oct 2025
Scientific Reports

Volume: 15, P: 1-21
A Multi-Modal, Multi-Temporal, Multi-Resolution Benchmark Dataset for Building Height Estimation

Ritu Yadav
Andrea Nascetti
Yifang Ban
ResearchOpen Access31 Dec 2025
Scientific Data

Volume: 13, P: 1-15
How many patents does a biopharmaceutical company need?

Young biotech companies may not need extensive patent portfolios to survive or grow.

Deepak Kumar Parida
Ritu Mehdiratta
Gayatri Saberwal
Comments & Opinion01 Jul 2008
Nature Biotechnology

Volume: 26, P: 763-766
AtMYB12 expression in tomato leads to large scale differential modulation in transcriptome and flavonoid content in leaf and fruit tissues

Ashutosh Pandey
Prashant Misra
Prabodh Kumar Trivedi
ResearchOpen Access24 Jul 2015
Scientific Reports

Volume: 5, P: 1-14
Designing a bed-side system for predicting length of stay in a neonatal intensive care unit

Harpreet Singh
Su Jin Cho
Yao Sun
ResearchOpen Access08 Feb 2021
Scientific Reports

Volume: 11, P: 1-13
Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants

Daniel R. Barnes
Matti A. Rookus
Antonis C. Antoniou
ResearchOpen Access15 Jul 2020
Genetics in Medicine

Volume: 22, P: 1653-1666
Integrated genetic and metabolic landscapes predict vulnerabilities of temozolomide resistant glioblastoma cells

Selva Rupa Christinal Immanuel
Avinash D. Ghanate
Anu Raghunathan
ResearchOpen Access08 Jan 2021
npj Systems Biology and Applications

Volume: 7, P: 1-10
The miRNA and PD-1/PD-L1 signaling axis: an arsenal of immunotherapeutic targets against lung cancer

Ritu Yadav
Rinku Khatkar
Aklank Jain
ReviewsOpen Access29 Sept 2024
Cell Death Discovery

Volume: 10, P: 1-19

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Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy

Large Area Fabrication of Semiconducting Phosphorene by Langmuir-Blodgett Assembly

Classification of cotton leaf disease using YOLOv8 based k-fold cross validation deep learning method for precision agriculture

A Multi-Modal, Multi-Temporal, Multi-Resolution Benchmark Dataset for Building Height Estimation

How many patents does a biopharmaceutical company need?

AtMYB12 expression in tomato leads to large scale differential modulation in transcriptome and flavonoid content in leaf and fruit tissues

Designing a bed-side system for predicting length of stay in a neonatal intensive care unit

Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants

Integrated genetic and metabolic landscapes predict vulnerabilities of temozolomide resistant glioblastoma cells

The miRNA and PD-1/PD-L1 signaling axis: an arsenal of immunotherapeutic targets against lung cancer

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