Specialized Services

GAVS’ specialized healthcare service offerings drive healthcare mobility through TeleHealth and can take your healthcare offerings to a whole new frontier with leading-edge AI solutions for life sciences.

Our TeleHealth solutions are backed by cloud enablement, desktop virtualization, device intelligence, connective tools, patient engagement apps, and patient 360 – a consolidated view of patient information. GAVS’ AI solutions for life sciences leverage the power of Machine Learning for areas such gene editing, genetic new-born screening, plasmid & chromosome identification, and chromosome prediction in human genomics.

Immersive Patient Experience through TeleHealth

o1

Integrated & Bundled Apps with Microsoft Teams/Skype

Connective Tools for Advanced Specialty Treatment through Integrated Care (Cardiology, Endocrinology)

o2

Microsoft Cloud for Healthcare - Resell & Implement

Cybersecurity Solutions for Data Security and Compliance to International Regulations and Standards

o5

Patient Engagement Enhancements

Cognitive Chatbots & Physician Apps, Voice Recognition, Language Understanding for Foreign Language Patients, Emotional AI

o3

Device Intelligence - Remote Monitoring & Maintenance

RMP through Interconnected Smart Devices, Predictable Device Uptime with ZIF Platform for Seamless, Timely Services and Elimination of Unwanted Costs

o4

Patient 360 - Personal Health Records Integration with IoMT

Data Ingestion from Personal Health Devices and Link with Patient Profiles for Comprehensive Patient 360 and Subsequent Analytics

o6

zDesk

IP Solution for Secure Provider Access to Patient Data – Anytime, Anywhere and from Any Device

AI/ML-led Solutions for Life Sciences

o7

Current and Future Applications

Gene Editing, Genome sequencing, Clinical Workflows, Consumer Genomics Products, Disease Prediction with Genomics, Pharmacy Genomics, Genetic New-born Screening

o8

Clustering (Unsupervised learning)

Binning of Metagenomics Contigs, Identification of Plasmids & Chromosomes, Clustering Reads into Chromosomes for Better Assembly, Clustering of Reads as a Preprocessor for Assembly of Reads

o9

Classification (Supervised learning)

Classifying Shorter Sequences into Classes (Phylum, Genus, Species), Phylogenetic Inference of the Sequences, Detection of Plasmids & Chromosomes, Finding Coding Regions, Chromosome Prediction in Human Genomics