The Smart Money Is Moving Toward AI Healthcare Tools That Actually Touch Patients
Issued on behalf of Avant Technologies Inc.
VANCOUVER – Baystreet.ca News Commentary – AI is rapidly infiltrating every corner of the healthcare system, but so far, ambient scribes have taken the lead as the most visible breakthrough. As adoption broadens, experts are now evaluating which tools offer real ROI—and how quickly early adopters could benefit. Clinician workloads are already shrinking thanks to voice AI, while hospitals are deploying intelligent agents to streamline operations and boost care quality. For investors still hunting early-stage opportunities in this space, several publicly traded names are showing fresh momentum, including Avant Technologies, Inc. (OTCQB: AVAI), NVIDIA Corporation (NASDAQ: NVDA), Novo Nordisk A/S (NYSE: NVO), Alphabet, Inc. (NASDAQ: GOOG, GOOGL), and Microsoft Corporation (NASDAQ: MSFT).
Private-market momentum is heating up fast, with venture capital pouring into AI-driven healthcare startups. In the first quarter alone, AI companies secured over half of all digital health funding—underscoring the sector's growing appeal. Notable rounds include $45 million for Ellipsis Health and $28 million for Autonomize AI, both focused on reshaping clinical decision-making. From early diagnostics to advanced drug discovery, the pace of innovation is picking up—and retail investors are starting to take notice.
One example is the rollout of AI-powered screenings for diabetic retinopathy now underway across Costa Rica, Nicaragua, and Panama. Avant Technologies, Inc. (OTCQB: AVAI) and joint-venture partner Ainnova Tech have begun offering free Vision AI scans inside Grupo Dökka's Fischel and La Bomba pharmacy chains. The fast, non-invasive test detects early retinal changes—often before symptoms appear—and delivers secure results within minutes. By embedding the service in retail pharmacies and preparing for a parallel launch in Mexico, the partners are bringing care closer to patients while generating real-world data to support broader commercialization.
"As we begin similar initiatives in Mexico, our goal is to close the patient care loop with timely treatment, connecting every step of the journey," said Vinicio Vargas, CEO of Ainnova Tech and board member of Ai-nova Acquisition Corp. "We are integrating pharma, retail, ophthalmologists, and our technology into a unified experience, all driven by one incentive, the well-being of the diabetic patient."
The rollout also gives Avant a timely proof point as it moves to consolidate Vision AI under one roof. Earlier this month, the company signed a non-binding letter of intent to acquire 100% of Ainnova Tech —bringing leadership, data, and intellectual property together ahead of a scheduled FDA pre-submission meeting in July. Folding the joint venture into a single public entity would remove the current holding-company structure, streamlining everything from regulatory filings to revenue recognition. Management sees the unified cap table as a potential draw for both investors and strategic partners.
While the legal teams work through due diligence, engineers are finalizing a low-cost, automated retinal camera built to work seamlessly with the Vision AI platform. Legacy fundus cameras can run into the tens of thousands and typically require skilled operators. Avant's prototype is fully automated, cloud-connected, and designed for a fraction of the cost. If performance holds up to internal testing, the system could enable large-scale diabetic screenings in clinics and low-resource settings—without the need for additional specialist staff.
Vision AI is also expanding beyond diabetic eye disease. A patented dementia-risk module —pairing a five-minute blood test with AI pattern recognition—is now in validation, while cardiovascular-risk analytics are advancing through pilot studies across Latin America. Because every new use case plugs into the same software backbone, Avant looks more like a scalable platform than a single-product company.
On the financial side, the planned merger would fold all outstanding Ainnova shares into Avant's public float, avoiding cash dilution and fully aligning the combined team's incentives. Management says any future fund-raising would be aimed at three priorities: completing the automated camera, widening pharmacy deployments, and supporting U.S. regulatory milestones.
Taken together, the pharmacy roll-out, planned Ainnova acquisition, and imminent camera launch signal a turning point for Avant. What began as an AI incubator is fast becoming a full-stack diagnostics company, complete with proprietary hardware, an expanding library of predictive algorithms, and retail-level distribution partners. If execution matches vision, Vision AI could cut referral delays, open earlier treatment windows, and give resource-strained health systems specialist-grade insight at primary-care prices—turning headline-grabbing tech into tangible patient benefits.
NVIDIA Corporation (NASDAQ: NVDA) and Novo Nordisk A/S (NYSE: NVO) are joining forces to advance drug discovery using AI models trained on the NVIDIA DGX Cloud platform. The partnership is supported by Denmark's DCAI supercomputing center and aims to improve early-stage research for identifying drug targets and molecules.
'AI is essential for every industry, and there's no other field that will benefit more from acceleration than drug discovery,' said Rory Kelleher, senior director of business development for life sciences at NVIDIA. 'Working with Novo Nordisk, we're advancing critical R&D applications with fundamental tools that can harness the full potential of generative and agentic AI to improve pharmaceutical development.'
Novo Nordisk will adopt NVIDIA's BioNeMo platform to build customized generative AI tools using its proprietary biological data.
'By coupling NVIDIA's accelerated computing platform and expertise with Novo's deep expertise in life sciences research and development, we aim to build custom models that will aid our scientists in developing new medicines faster and more efficiently,' said Mishal Patel, senior vice president, AI and digital innovation at Novo Nordisk. 'Gefion will allow us to run experiments at an unprecedented scale.'
DCAI views this collaboration as a model for how public supercomputing resources can unlock innovation in life sciences. For investors, the alliance highlights a rising trend of AI infrastructure enabling breakthroughs in biopharma.
Alphabet, Inc. (NASDAQ: GOOG, GOOGL) subsidiary Google, through its DeepMind division, has introduced Med-Gemma, a new generative AI model optimized for healthcare developers building diagnostic and imaging apps. The tool aims to streamline early-stage development by offering pretrained models trained on expansive medical imaging datasets.
Med-Gemma joins other Google health-focused initiatives like Med-PaLM 2 and AMIE, signaling a coordinated strategy toward AI-native clinical applications. The company continues to expand its AI footprint across healthcare with open-access tools designed to catalyze innovation at scale.
Microsoft Corporation (NASDAQ: MSFT) is advancing healthcare AI innovation through strategic initiatives presented at HLTH Europe 2025, emphasizing breakthroughs in diagnostics and precision medicine via collaborations like its Mayo Clinic partnership. A central feature was Dragon Copilot, a generative AI tool designed to streamline documentation and enhance clinician-patient engagement across Europe.
Microsoft also addressed growing global health disparities by promoting equitable, inclusive solutions rooted in responsible AI practices. These efforts reflect Microsoft's goal of enabling healthier outcomes for patients and providers worldwide.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/
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