AIME offers data and analytics of global diseases using predictive platforms to steer the future of public health.
Our analytics and assessment for the COVID-19 pandemic
Solving big global health challenges is at the heart of AIME.It started as the vision of three young professionals to provide public health prodfessionals and decision-makers around the world through state-of-the-art innovations such as Big Data Analytics and AI technology.
After years of intensive research in epidemiology and data science, our flagship platform - Airbo (AI for Arboviral Diseases) can predict outbreaks 30 days in advance, at the accuracy of 80% and above,making it the first breakthrough technology in epidemiology and data science. The first pilot to predict the 2016 Zika outbreak has now evolved into a full featured AI platform to tackle multiple mosquito-borne disease line Dengue and Chikugunya.
CEO, Public Health Expert
Professionally trained in medicine, Dr. Helmi Zakariah was the first national subject matter expert in international health policy & governance in 2015. He previously worked with MOH Malaysia, the WHO, and various UN agencies and international NGOs. He currently oversee AIME’s vision to close the gap of outbreak surveillance worldwide.
CTO, Telematics expert
With a strong professional background in telematics, computer engineering and system administration, Rainier Mallol co-founded AIME during his graduate studies program at NASA Singularity University, with the vision to pioneer the use of AI in infectious disease surveillance.
Dr. Helmi Zakaria
Chief Executive Officer
Chief Technology Officer
Chief Financial Officer
Prof. Ting Choo Yee
Dato’ Dr. Fadzilah Kamaluddin
Mohamad Izlan Irman
Head of Bussiness Development
Head of Product Development
Head of Data Science & Engineering
Farah Amin Siru
Head of Corporate Relations & Communication
Wan Mahmud Syazwan
Head of Administration
Yee Hui Jia
Mohammad Ariff Syafiq
Siti Najiha Izzati
HR & Administration
Using its abilities which compromise machine learning, speech recognition and functioning as virtual personal assistants, AI enables companies to cut down on human resource cost, increasing the efficiency and accuracy in carrying out laborious activities. Akin to the industrial revolution, computer age and smartphone revolution, AI is considered to be the next big technological shift.
The Healthcare industry has widely incorporated the use of Artificial Intelligence in its applications including storing of patients information in cloud solutions, virtual nursing assistants, and even more complex functions such as robot-assisted surgery.
Healthcare professionals expect that AI will have the greatest immediate impact on population health management programs, patient diagnosis, clinical decision support and precision medicine. In addition, pressures to reduce healthcare expenditures and the lack of preparedness by officials to control disease outbreaks are some factors propelling the growth of this market.
Machine learning is a type of AI that gives computers the ability to learn without being explicitly programmed. It focuses on the development ofcompter software, whose results would change when exposed to new data. It is suited for analysing millions of data to forecast health risks at the population level which would bring about the potential for large savings and would not require the regulatory scrunity expected when trying to anticipate individual health risks.
AI is expected to revolutionise the healthcare industry by bringing changes that will improve the quality of healthcare and make operations more efficient while cutting down on costs.
Using Artificial Intelligence and Predictive Analytics, we have created several machine learning tools and engines in line of important issues related to public health.
As global sustainability advocates, we also use our expertise in Data science and AI solution experts to tackle wider development issues related to ill-health such as agriculture practices in South- East Asia and Malaysia.
Analytics for Coronavirus Urgency Assesment
AI Sytem for Antibiotic Resistance Stewardship
AI Console for Arboviral Diseases
Our first pilot project to determine the spread of the 2015-2016 virus epidemic
Our current and past analytics and tools for verifying global health issues.
Analytical solution on the current pandemic outbreak of a coronavirus