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Dr.Kuncheng Song
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Bioinformatics at Labcorp Raleigh, NC

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My Biography

I work as a senior bioinformatics scientist at More labcorp with a Ph.D. in bioinformatics concentrating in microbiome research. I have extensive experience in microbiome research, particularly in 16S and metagenomics sequencing and its analysis. My work involves developing and applying computational methods to study the diversity of microbial communities, with the ultimate goal of understanding how these complex systems influence human health and disease. In my research, I have developed and implemented advanced bioinformatics tools and pipelines to analyze large-scale metagenomic data sets, allowing for the identification of key microbial taxa that may be involved in disease processes. I am also trained in statistical analysis and machine learning techniques, which have enabled me to develop predictive models for disease risk and treatment response. Throughout my career, I have also collaborated with numerous researchers across different disciplines, including microbiologists, immunologists, epidemiologists, and clinicians, to help answer important questions about the microbiome and its role in human health. My work at Labcorp involves continuing my research in the field of microbiome research and supporting patient health by developing metagenomics pipelines for analyzing patient data.

Area Of Expertise

Bioinformatics; Microbiome; Computational Biology

Area of Intrest

Bioinformatics; Microbiome; Computational Biology

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Yenealem Gemi Mekuria

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Hello

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Satish Kumar

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Happy New Year, APIDians!

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Amit Rai

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Happy New Year APID’ans

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Paritosh Chauhan

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Happy New Year Everyone .
I hope 2024 is good for you.

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Mital Manvar

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Hello everyone, I am presently working as Professor at School of Pharmaceutical Sciences, Atmiya Read More University, Rajkot, Gujarat, India. My major research areas are pharmacognosy, phytochemistry, pharmacology, development of herbal drug formulation. Three Ph D students registered under me who are presently working in different domains such as antidiabetic, immunomodulator and anticancer herbal drugs. I have guided 7 projects of UG students under SSIP (Student start up and Innovation Policy) scheme of Gujarat Government. I have selected as Mentor in Indian Knowledge Systems (IKS) at AICTE, New Delhi to guide two interns for their project works. I am very interested to guide students in various research areas such as evidence based studies on traditionally used drugs and formulation as well as development of herbal drug formulations.

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Dhandapani K

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Nematoticidal bacteria

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Perumal Ponraj

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Hello everyone

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Prof. (Dr.) Swapnil Rai

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My area of work is climate change and its impact on the migration of people. It’s a new aspect of Read More major climate change. The work will provide new insight into the aspect of climatic exodus.

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Dr Younis I Munshi

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Hi Presently working as Incharge Director of National Research Institute of Unani Medicine am trying Read More to streamline research in Unani Medicine viz a viz modern technology

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USHAA ESWARAN

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Dear Peers, I am delighted to share my recent contributions, aiming to revolutionize various domains Read More leveraging cutting-edge technologies. My work spans across crucial areas such as precision medicine, artificial intelligence, quantum computing, and medical image analysis. Specifically: “Applying machine learning for medical image processing” and “AI-aided computer vision in the healthcare system” explore the intersection of AI and medical imaging, aiming for enhanced diagnostics and patient care. Investigating the synergy between quantum computing and artificial intelligence in “The role of quantum computing in the era of artificial intelligence”, facilitating advancements in computational paradigms. Exploring the potential of augmented reality (AR), virtual reality (VR), and AI in “Augmented reality (AR) and virtual reality (VR) technologies in surgical operating systems”, promising groundbreaking transformations in surgical procedures. My recent publications on predictive modeling for cancer classification, advanced microcantilever-based biosensors, and integrating IoT, ML, and cloud computing for sustainable agriculture showcase the diverse applications of technology in healthcare, biosensing, and agriculture. These endeavors aim to push the boundaries of technology, fostering innovation and advancements for a brighter future. Best Regards, Prof.Dr.Ushaa Eswaran Editor-in-Chief, Journal of Image Processing & Pattern Recognition Progress

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