19 August 2024 | Monday | News
Alafia Ai, Inc. (“ALAFIA”) is excited to announce the general availability of AIVAS, an all-in-one interactive high-performance personal supercomputer specifically designed to revolutionize the development and deployment of critical artificial intelligence (AI) software applications in the healthcare industry. AIVAS accelerates in-silico experiments and bioinformatics pipeline development by multiple orders of magnitude compared to existing systems, empowering bioinformaticians and healthcare professionals with the tools they need to gain pivotal insights across a wide range of medical applications, from genetics research to clinical decision support systems.
A New Era in AI-Powered Healthcare with AIVAS
The growing complexity of applications in fields such as digital pathology, neurology, genetics research, radiation oncology, and cardiac imaging necessitates robust computational power and efficiency. AIVAS meets this demand by offering the highest compute density and energy efficiency for low-latency, mission-critical workflows, and secured workloads. It enables next-generation high-throughput sequencing algorithms, computational mass spectrometry, and bioinformatics automation, providing healthcare professionals with the capability to use advanced bioinformatics techniques in clinical environments. This innovation offers a unique opportunity for more accurate insights and faster results when they are most critically needed.
Meet the World’s Most Powerful All-in-One
AIVAS has generated considerable enthusiasm in the bioinformatics software engineering community, thanks to its unparalleled compute capabilities. With maximum compute power, unified memory, storage, high-bandwidth network throughput, Graphics Processing Units (GPUs), and Data Center-grade AI accelerators, AIVAS is spurring the creation of new use cases and applications at an unprecedented pace.
Key Features of AIVAS:
Real-World Impact
AIVAS has already received enthusiastic validation from early adopters, including researchers from the Stanford Medical School Department of Neurology and Neurological Sciences and Acacia Clinics.
Dr. Danielle D. DeSouza, Vice-President of Research at Acacia Clinics and Research Staff at Stanford University, Department of Neurology, shared her experience: “Performing cortical reconstruction with AIVAS was significantly faster than traditional computers. We reduced individual subject reconstructions from over 24 hours to under 2 hours per subject and could parallelize to perform hundreds of subjects at a time. Clinical trial cohort pre-processing that used to take weeks to months was completed in under a week.”
Transforming Healthcare with AI
AIVAS enables surgeons and medical physicists to conduct real-time reconstructions using industry-standard DICOM images and videos, including CT and MRI scans. By leveraging the parallel processing power of both CPU and GPU with a unified memory architecture, AIVAS efficiently handles large datasets and significantly boosts medical reconstruction performance, setting a new standard for AI-powered healthcare solutions.
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