-
Asian stocks drop as oil spike fans rate hike bets, eyes on US jobs
-
Lula, Bolsonaro both snub final debate before Brazil election
-
Viral anti-vax posts weaponise Philippine inoculation fears
-
Nepal's grim DNA puzzle to identify flood dead
-
Saudi coalition accuses Houthis of drone attack on Medina
-
EU nations to hold emergency meeting on soaring diesel prices amid US pressure
-
Effective Altruism: the philosophy behind Silicon Valley's AI fears
-
Anthropic's Dario Amodei: AI's most visible CEO and enigma
-
Chinese judoka accused of biting as home hope wins Asian Games gold
-
OpenAI says three staffers fired for mishandling 'sensitive' info
-
Four-member crew docks at International Space Station
-
Nike plans job cuts as it forecasts lower sales
-
Portugal win without Ronaldo as Klopp's Germany get first victory
-
Ireland game interrupted twice by Gaza protests
-
Wemby: 'Very sad' to see players endorse betting firms
-
Judge denies acquittal bid by US woman who killed her kids
-
Manchester City Women scrape draw with Real Madrid
-
Klopp averts crisis with first win as Germany boss
-
India, Australia and Pakistan in same World Cup group
-
A saintly spat and debate snub: Brazil enters final campaign stretch
-
Daryz's hopes of repeat Arc win boosted by draw
-
US tells European allies to act 'immediately' to lower diesel prices
-
Steelers ship disgruntled defender Porter to Cowboys
-
G20 trade ministers fail to see consensus against overproduction
-
Klopp gets first win as Germany boss
-
Portugal edge Denmark in Ronaldo's absence
-
Bolivia's attorney general arrested on drugs, money laundering charges
-
US stocks edge higher as bond yields retreat for now
-
Raiders host Chiefs in battle of unbeaten division rivals
-
US tells European allies to 'immediately' act to lower diesel prices
-
Lowest Fee Bitcoin ATMs Announces Launch of More Than 400 ATMs Nationwide
-
Trump vows to hit Iran 'very hard' if linked to flydubai attack
-
G20 against 'weaponization' of food trade: French minister
-
Williams leaves Spain camp with thigh knock
-
Female US inmate in critical condition after botched execution
-
WTA reduces 2027 schedule for world's top 50
-
Spotlight on UK-UAE ties amid Manchester City scandal
-
US says 'in Europe's best interest' to cooperate on fuel supply
-
Ethiopia and Eritrea break diplomatic ties over conflict
-
Rogue OpenAI agents covered up their tracks, report says
-
Downing Street says Manchester City not 'above the rules'
-
A saintly spat and debate snub: Brazil enters final polls stretch
-
Hadjar wants to 'fight for the title' from next season
-
Zidane 'no regrets' about Materazzi headbutt as France face Italy again
-
Bolivia's attorney general arrested for alleged drug trafficking, money laundering
-
Libya's pay strike rallies teachers across divided nation
-
German sugar tax sparks new government row
-
Four-member crew blasts off for International Space Station
-
Musk returns to US government for Pentagon war study
-
i-payout Expands True Local Payment Capabilities to Help Enterprises Pay Recipients Globally
IGC Pharma's AHA Agentic AI Platform Reduces Alzheimer's Data Harmonization Time by 90% in Representative Workflow
Patent-Pending Multi-Agent Architecture Targets Fragmented Biomedical Data and Expands Toward Imaging, Omics, and Broader Health-Data Applications Ahead of Planned AAIC 2026 Demonstration in London
POTOMAC, MD / ACCESS Newswire / June 23, 2026 / IGC Pharma, Inc. (NYSE American:IGC) ("IGC" or the "Company"), a clinical-stage biotechnology company developing therapeutics for Alzheimer's disease and AI-enabled healthcare technologies, today announced the beta version of its proprietary Agentic Harmonization Assistant ("AHA"), an enterprise software platform designed to accelerate the harmonization of fragmented Alzheimer's and aging-related datasets.

The announcement comes as IGC advances IGC-AD1, its lead Phase 2 Alzheimer's candidate for agitation associated with Alzheimer's dementia, positioning the Company at the intersection of Alzheimer's therapeutics and AI-enabled pharmaceutical discovery.
"Artificial intelligence is changing how medicines are discovered and developed, but AI models are only as powerful as the data they can learn from," said Ram Mukunda, CEO of IGC Pharma. "Our vision is for AHA to become a trusted infrastructure layer that helps pharmaceutical companies, academic institutions, government agencies, and healthcare data organizations convert fragmented biomedical datasets into interoperable, reusable, and AI-ready discovery assets."
In internal testing using an Alzheimer's structured-data workflow involving 100 variables, AHA reduced harmonization time from 28 hours of manual processing to 2.5 hours, including human verification of results - a 90% reduction in workflow time for that representative test case. The result reflects this specific workflow, and performance may vary depending on dataset complexity, data quality, and user workflow. The Company has also received feedback from external beta testers reporting similar time-saving potential in comparable data environments.
AHA was developed from an operational bottleneck IGC encountered while building MINT-AD, the Company's predictive Alzheimer's risk-stratification engine. Training and deploying disease-specific AI models requires large, harmonized datasets; however, preparing those datasets manually proved slow, repetitive, and difficult to scale. AHA was created to solve that bottleneck for IGC's own discovery work and is now being positioned for broader pharmaceutical, academic, government, and healthcare data applications where fragmented datasets can slow biomarker discovery, cohort generation, cross-study analysis, and clinical development.
AHA addresses this challenge through a patent-pending multi-agent architecture that coordinates specialized digital agents to profile datasets, identify and prioritize related variables, propose mappings, generate transformation logic, score confidence, flag uncertain matches for human review, and produce validation-ready outputs. The system is designed to accelerate discovery by reducing the repetitive manual work required to make complex datasets interoperable.
IGC Pharma expects to demonstrate AHA in connection with the Alzheimer's Disease Data Initiative's AD Workbench ecosystem during the Alzheimer's Association International Conference ("AAIC") 2026, scheduled for July 12-15 in London. The planned showcase is intended to demonstrate AHA's ability to support rapid cohort generation, cross-study analysis, and accelerated open-science collaboration.
The Company believes AHA's neurodegenerative focus represents a high-value entry point into a broader healthcare data challenge. IGC Pharma is expanding AHA's architecture to support additional biomedical modalities, including imaging such as MRI, PET, and CT, as well as omics, including genomics and proteomics. The Company believes the platform may support future software licensing, cloud-infrastructure partnerships, and disease-specific deployments across pharmaceutical, academic, government, and healthcare data sectors.
Separately, the Company's lead therapeutic asset, IGC-AD1, is currently being evaluated in the Phase 2 CALMA clinical trial for agitation associated with Alzheimer's dementia. As previously announced, CALMA has reached 100% of its baseline randomization target. The Company is currently completing limited over-enrollment and expects to proceed thereafter with patient follow-up, database activities, and topline analysis.
About IGC Pharma
IGC Pharma, Inc. (NYSE American:IGC) is a clinical-stage biotechnology company developing therapeutics for Alzheimer's disease and other indications. The Company's lead asset, IGC-AD1, is being evaluated in the Phase 2 CALMA clinical trial for agitation associated with Alzheimer's dementia. The Company is also developing AI-enabled tools intended to support biomedical discovery, data harmonization, and clinical development.
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the development, capabilities, performance, testing results, demonstration, deployment, potential utility, commercialization, and future applications of AHA; expansion into additional data modalities, including imaging and omics; planned activities at AAIC 2026 and any relationship with the Alzheimer's Disease Data Initiative or AD Workbench ecosystem; potential collaborations, licensing, partnerships, and disease-specific deployment opportunities; and the Company's clinical development programs, including IGC-AD1 and the CALMA trial. These statements are based on current expectations and involve risks and uncertainties that could cause actual results to differ materially, including risks related to software development, internal and external testing results and their reproducibility, validation, third-party and ecosystem adoption, data access and rights, intellectual property protection, regulatory considerations, commercialization, clinical trial timelines and outcomes, financing needs, and other factors discussed in the Company's filings with the U.S. Securities and Exchange Commission, including its most recent Annual Report on Form 10-KT. The Company undertakes no obligation to update these statements except as required by law.
Contact Information
Andres Sanchez
Investor Relations
[email protected]
+1 301-983-0998 / +1 (202) 569-2566
SOURCE: IGC Pharma, Inc.
View the original press release on ACCESS Newswire
F.Wilson--AT