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Madhu Kumar on Muck Rack

Madhu Kumar

White Plains
As seen in: Pew Research Center, ACS Publications, DEV Community, Microbiology Research, The Cureus Journal of Medical Science, Indian Journal of Ophthalmology, Indian Transport & Logistics News

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Madhu Kumar’s Biography

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A former scientific advisor with Wilson Sonsini Goodrich & Rosati and scientist with the University Health Network, Madhu Kumar served five years as a postdoctoral fellow with the London Research Institute. Working out of the Institute’s headquarters in London, England, he conducted studies that categorized ctDNA as a pre-imaging diagnostic agent for solid cancers and analyzed the salubrious effects of GATA2 on Ras-driven lung cancer. Madhu Kumar’s achievements while working with the London Res…

Articles

Unveiling the Electronic and Optoelectronic Behavior of Phenothiazine Derivatives through Theoretical Insights Click to copy article link Article link copied!

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By Murugesan Panneerselvam, Madhu Kumar, Iravatham Rama
| ACS Publications
The electronic spectra of the PTZ1–PTZ10 series reveal substantial variations in both the absorption and emission (λ max/emi ) spectra and oscillator strengths ( f0 ), reflecting the influence of structural modifications on their electronic transitions (see Tables 1 and 2 ). The first absorption band (λ 1 ) is observed between 405.6 and 432.5 nm.
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Broadly neutralizing human monoclonal antibodies against BK polyomavirus genotypes

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By J. Andrew Duty, Thomas Kraus, Madhu Kumar, Nicolo A. Tortorella
| Microbiology Research
Article metrics loading... /content/journal/jgv/10.1099/jgv.0.002197 Metrics Download as PowerPoint /deliver/fulltext/jgv/106/12/jgv002197.html?itemId=/content/journal/jgv/10.1099/jgv.0.002197&mimeType=html&fmt=ahah References Zhou X, Zhu C, Li H. BK polyomavirus: latency, reactivation, diseases and tumorigenesis. Front Cell Infect Microbiol 2023; 13:1263983 [View Article] [PubMed] [Google Scholar] Helle F, Brochot E, Handala L, Martin E, Castelain S et al. Biology of the BKPyV: an update.
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Think Fast, Code Faster: Local AI Development with Docker Model Runner

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By Madhu Kumar
| DEV Community
Docker has taken a bold step in the AI space with its new experimental feature, Docker Model Runner, introduced in Docker Desktop for Mac 4.40+. This feature brings Large Language Model (LLM) inference directly to your machine, integrating seamlessly into Docker’s familiar ecosystem. With native GPU acceleration and the flexibility of running AI models locally, Docker Model Runner is a game-changer for developers, data scientists, and AI enthusiasts.
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