Intersection of Genomic data and AI
Complexity of genomic data of living organism obtained from clinical data and basic research provides longstanding challenges that could hamper efforts to achieve precise medicine. AI has virtually affected all the fields of research, especially those dealing with big data, such as functional genomics. Automation and data-driven processes are increasingly being incorporated into biotechnology.
Whole genome analysis
Next generation Sequencing
Personalized/ Precise medicine
Diagnosis & Target Identification
Fig.1 AI application in functional genomics
Major topics under clinical studies involving AI based analysis
For Covid 19, AI sequencing software (AI types used are machine learning, deep learning and artificial neural network) and tools are being used for Critical Illness, Hypoxemic Respiratory Failure, Neurocognitive Dysfunction and Mechanical Ventilation Complication, vaccines and drugs.
AI, ERASE – TB, evaluate new diagnostic tests for detecting tuberculosis (TB) to steer its prevention in Zimbabwe, Tanzania & Mozambique
Oncology Imaging genomics relies on the use of AI algorithms to extract information identified on an image (e.g., mutation pathology), Genomic datasets and link these features with phenotypes
Biomarker-enhanced artificial intelligence (AI)-based pediatric sepsis screening tool (PSCT) Clinical outcomes in hospitalized patients monitored with the Morley Medical Sepsis Software Device
Neurological, diagnosis of early Alzheimer, Autism, Parkinson, Multiple sclerosis,
Molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and genetic data (Whole exome sequencing, RNA sequencing, proteomics, etc), MR sequences (T1, T1c, T2, FLAIR, ADC, DTI, PWI, etc) sequencing
Healthcare including Personalized medicine following genome sequencing using AI based diagnosis.
EchoNet-LVH screening for Cardiac amyloidosis Deep Learning Algorithm for Gastrointestinal diseases 16s rRNA high-throughput sequencing combined with bioinformatics for various diseases ( e.g., Vaginal microbiota)
Top companies using AI for diagnostic purposes
No Data Found
Data represents semi-automated patent analysis.
Recent AI driven advancements in top Pharma companies
Ultima’s UG 100™, a high-throughput next-generation sequencing (NGS) instrument to generate high-quality sequencing data.
NVIDIA A30 GPUs with the NVIDIA Clara AI computing platform to perform accurate and accelerated varied level.
Ultima and NVIDIA together to develop Ultima specific germline variant pipelines for Google’s DeepVariant which can run on NVIDIA Clara™ Parabricks®