Replies to post #5362 on Foxo Technologies Inc (FOXO)

[Dr.Speculator]

It's a do or die situation, Pull the trigger moment, their only hope is just acquired Vector Biosource attending Medica 2025 next week, It's a world stage event in Germany High tech AI platforms in healthcare
https://www.medica-tradefair.com/en/Visit/Hot_Topics/ai-genai
https://www.linkedin.com/posts/vector-biosource_medica2025-germany-thankyouformovinghealthcareforward-activity-7387211095960080384-sGpk

[MartinLutherKing]

Partnership agreement with Nvidia & IBM
Patent No. 11,817,214 titled "Machine Learning Model Trained to Determine a Biochemical State and/or Medical Condition Using DNA Epigenetic Data
Epigenetic technology has been proven to provide health, lifestyle, and longevity insights that have never before been accessible to humans—from just a single saliva sample. Using saliva-based epigenetic biomarkers, we’re eliminating the need for invasive blood and urine collection, allowing us to provide scientists with advanced epigenetic testing services and bioinformatics tools that support ground-breaking research.
IBM utilizes machine learning (ML) and artificial intelligence (AI) in its research to advance therapeutic and biomarker discovery, including projects involving multi-omics data which can encompass epigenetics. While IBM does not offer a specific, named "epigenetics machine learning" product, its general AI and ML platforms like IBM Watsonx AI and IBM Watson Studio are used in this domain by researchers and partners.
Applications in Epigenetics Research
Machine learning, powered by NVIDIA's technology, is used in various epigenetic applications:
Disease Diagnosis and Classification: Researchers use deep learning models to process DNA methylation data for applications such as classifying brain and other tumors.
Biomarker Discovery: GPU-accelerated machine learning helps in identifying novel biomarkers and therapeutic targets for personalized medicine.
Aging Clocks: Neural networks are applied to DNA methylation data to develop "epigenetic aging clocks" that can predict age and identify age-related disorders more accurately than traditional linear models.
Data Analysis Tools: Software suites like EpiDiP/NanoDiP utilize both CPU and GPU computing to perform rapid methylation-based classification and copy number profiling, speeding up the diagnostic workflow.
Partnerships: NVIDIA has formed partnerships, such as with Illumina, to apply genomics and AI technologies to analyze and interpret multi-omic data in drug discovery and clinical research.