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Abdul Jabbar on Muck Rack

Abdul Jabbar

As seen in: Medium, Nature, The Independent (UK), Wiley Online Library, Yahoo Canada, Journal of Automated Methods and Management in Chemistry, Oxford Academic, BMJ Open, Frontiers, MDPI and
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Articles

Make A Difference With TIME BUSINESS NEWS

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By Abdul Jabbar
| Time Business News Verified
Financial technology is frequently discussed through the language of innovation: faster payments, automated workflows, new financial infrastructure, artificial intelligence, and increasingly connected business systems. These developments matter, but they do not always begin with the most important question facing a business: What problem needs to be solved? For Sabeer Nelli, that question came from experience rather than theory.
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Congenital heart disease classification using phonocardiograms: a scalable screening tool for diverse environments

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By Abdul Jabbar, Jack Crozier, Vivian Pham, Ahsan H Khandoker, Faezeh Marzbanrad, Ethan Grooby, Alexander Gallon, Khawza I. Ahmad, Raqibul Mostafa
| Nature Verified
Abstract Congenital heart disease (CHD) is a critical condition that demands early detection, particularly in infancy and childhood. This study presents a deep learning model designed to detect CHD using phonocardiogram (PCG) signals, with a focus on its application in global health. We evaluated our model on several datasets, including the primary dataset from Bangladesh, achieving a high accuracy of 94.1%, sensitivity of 92.7%, specificity of 96.3%.
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Make A Difference With TIME BUSINESS NEWS

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By Abdul Jabbar
| Time Business News Verified
In 2026, agentic AI revolutionizes how enterprises ingest documents into large language models (LLMs), far surpassing traditional OCR’s text-only limitations. Document AI platforms now empower autonomous agents to parse complex layouts, reason over semantics, and self-correct errors, delivering structured data ready for RAG pipelines.
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