McMarvin’s Research AI powers the doctors/scientists on the frontlines to battle with the COVID-19



McMarvin is a DeepTech startup using AI and Biomolecular technologies to empower healthcare by developing tools for better patient care, quality control, health management, and scientific research.






About McMarvin

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McMarvin AI develops and builds deep learning powered tools to help radiologists, surgeons/physicians, imaging centers, and hospitals to improve efficiency, consistency, and accuracy of radiology reporting by solving some of the complex problems in the healthcare domain.

Our mission is to explore the untouched areas of medical imaging and improve patients care through continuous research.





McMarvin
Covid-19 (SARS-CoV-2) Solutions

Accelerate COVID-19-related R&D activities with McMarvin

1. BIOINFORMATICS PLATFORM "BIOZENE" FOR VACCINE RESEARCH
2. RADIOLOGY SCREENING SOLUTION "M-VIC19" TO DETECT COVID 19 SUSPECTS
3. COLLOBORATION FOR DATA




McMarvin is committed and dedicated to work with like-minded organizations/research labs/government bodies, etc to support the COVID-19 related research and discovery efforts. We applaud the efforts of anyone who is working to find solutions to this unprecedented pandemic and consider all of our collective work on this pandemic essential to advance the research goals while following the safety recommendations by the public health authorities. We are here to find the most suitable solutions that can help you manage and accelerate your COVID-19-related R&D solutions. Here’s how we can help in your research journey.









1. BIOINFORMATICS PLATFORM FOR VACCINE & DRUG IDENTIFICATION

BIOZENE


Bioinformatics platform “Biozene” and Custom Data Analysis of SARS-Cov-2 for Vaccine and Drug identification

Bioinformatics came out as one of the essential tools to analyze viral data as it provides vital information about the genetic makeup of the virus and also assists directly in the development of drugs or vaccines against the deadly disease.

McMarvin developed a bioinformatics application “Biozene” for researchers/scientists/anyone who is working on the DNA sequences of the virus.











Features in BIOZENE

Our other Bioinformatics R&D support
(Automated analysis of DNA sequences)


● Data analysis application for integrated and interactive analytics on genomics data
● Custom bioinformatics analysis solution including the ability to integrate genomics and phenotypic analysis data to support SARS-CoV-2 research
● Customized genotyping array capturing common and rare ACE2 and TMPRSS2 coding variants for exploring host genetics
● Customized solutions on DNA sequences of SARS-CoV2










2. RADIOLOGY SCREENING SOLUTION

M-VIC19

(McMarvin Vision Imaging for Covid-19)


McMarvin researchers are continuously exploring the possibilities to battle COVID-19 and have built an AI solution to diagnose COVID-19 suspects using the classification & segmentation techniques of medical imaging.

Our solution "M-VIC19" helps doctors/radiologists to screen suspects/patients and prioritize those likely to be infected by the Novel Coronavirus.











Features in M-VIC19

McMarvin launches an AI-based platform to battle COVID-19 which can screen the suspects within seconds using CT scans built using deep neural networks.


● Screening of suspects within seconds using CT scans
● Automated segmentation of the infected areas inside CT scans
● Real-time analytics dashboard for patients’ data analysis
● Centralized database for storing and tracking the records of suspects
● DICOM Image Viewer and Converter to support several formats









3. COLLOBORATION FOR DATA


McMarvin is collaborating to collect and interpret data for faster discovery of COVID-19 solutions.

We can support your goals and assist you with experimental / published data collection, management, and analysis - to fast track your R&D towards publications and contributions to the therapeutic pipeline.

Includes Metadata of the radiographs (CTs, CXRs, MRI, etc) and DICOM viewer

Clinical reports interpretation based on Natural Language and AI