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AI everything abu dhabi spotlights AI-designed drugs and frontline care tools
Ai Everything Abu Dhabi 2026 will gather 200 investors managing US$100 billion in assets and 400 exhibitors from 60 countries. The event highlights practical AI tools like Arabic-first clinical systems and an AI-designed drug now in Phase III trials.
Abu Dhabi will host Ai Everything Abu Dhabi 2026 from 6-7 October at ADNEC Centre, bringing together more than 180 AI leaders, 400 exhibitors from 60 countries, and 200 investors managing US$100 billion in assets. The summit arrives as AI's global healthcare market is projected to jump from US$36 billion in 2026 to US$194 billion by 2031, and as the emirate's own AI-powered Patient Safety System now connects 100% of hospitals and serves over 60,000 users.
AI-designed drugs move from trials to the main stage
Dr. Alex Aliper, Co-Founder and President of Insilico Medicine, will present on the Main Stage in a session titled The Machines Curing Us. Aliper helped put an AI-designed drug into human clinical trials and built a team of more than 100 AI engineers. Insilico Medicine's AI-discovered drug Rentosertib, for the lung-scarring disease idiopathic pulmonary fibrosis, recently entered Phase III clinical trials.
"AI is already transforming the discovery engine, from identifying novel targets to designing high-quality molecules and delivering preclinical candidates in 12-18 months," Dr. Aliper said. "At Ai Everything Abu Dhabi, I will highlight the first UAE-discovered molecules produced in Abu Dhabi and how local AI talent hubs and collaborative models can help turn discovery platforms into global patient impact."
The conference programme will also cover autonomous AI in scientific research during the Aila and the Rise of the AI Scientist session.
Frontline tools built for Arabic and offline use
On the exhibition floor, Abu Dhabi-based NABDH Technologies will demonstrate its Arabic-first Clinical Workflow Intelligence System. The system lets doctors and patients consult in Gulf Arabic, then transforms those encounters into structured English clinical documentation. It is already used in patient consultations in Dubai and is part of a Department of Health - Abu Dhabi validation programme.
"NABDH is addressing a regional problem that has largely been approached with technology designed first for English-speaking healthcare systems and adapted to Arabic afterwards," said Afra Alahbabi, Founder and CEO of NABDH Technologies. "We are building from the opposite direction: Arabic-first, developed in the UAE, hosted in the UAE, and designed around the clinical, operational and regulatory realities of healthcare in this market."
Crane AI Labs will highlight an early childhood AI assistant built on Mohamed bin Zayed University of Artificial Intelligence's K2 Horizon model. The company is adapting the Abu Dhabi-developed open model for African languages and on-device use where connectivity may be limited. Its clinical-support technology already operates across 15 public health facilities in East Africa with over 250 consented health workers.
"Institutions want AI that works in the languages their people speak, on the devices they already own, without depending on connectivity or foreign cloud infrastructure," said Kato Steven Mubiru, CEO and Co-Founder of Crane AI Labs. "That is a sovereignty requirement as much as a technical one - and why we build offline first rather than as a fallback."
Data foundations and operational efficiency
Enterprise data platform Snowflake will focus on the infrastructure needed to deploy healthcare AI at scale. In the UAE, its client NMC Healthcare is centralising information across 70 facilities to support operational insight and patient care. Ahmed Hafez, Director of Solution Engineering for the Middle East, Turkey and Africa at Snowflake, said the goal is to show "how organisations can move from AI experimentation to production using trusted, governed enterprise data."
ExpertEase AI, which builds AI-powered digital employees, reports that its technology reduced manual processing of nurses' shift reports by roughly 90% for Australian healthcare provider TwinView Health - cutting the task from 30 minutes to one or two minutes per report. "This is a good example of how we see AI creating value: not simply answering questions but becoming an operational layer between frontline workers and existing enterprise systems," said Deniz Subasi, Founder and Chief AI Officer of ExpertEase AI. The company will announce its first external seed round at the event, targeting international expansion including the UAE market.
UAE-based THABER will showcase how AI can combine fragmented health and human-performance data - recovery, training, nutrition, wearable and activity metrics - to provide adaptive guidance on readiness and performance. "We are surrounded by a lot of data, but the real challenge is turning it into context, understanding and action," said Jasem Alketbi, Founder of THABER.
Why this matters for healthcare professionals
The technologies on display at Ai Everything Abu Dhabi point to a shift in how AI enters clinical workflows. Rather than broad chatbots, the tools emerging are domain-specific: Arabic-first documentation systems, offline-capable assistants for low-connectivity settings, and operational layers that sit between staff and existing enterprise software. For healthcare professionals evaluating AI, the signal is clear - the most practical deployments are being built around specific languages, regulatory environments, and the real constraints of frontline work. Professionals looking to build literacy in these systems can explore AI for Healthcare Courses or, for those in decision-making roles, AI Senior Leadership Courses that address procurement, governance, and scaling strategies.