AI Magazine January 2025 | Page 158

HEALTHCARE INNOVATIONS
By analysing a dataset of over 500 million embryo images , this model enhances accuracy and speed in embryo assessments , ultimately increasing successful pregnancy rates .
Beyond current capabilities As we look towards the future of healthcare innovations , several key factors will influence their evolution .
One significant shift in the UK is the move towards at home healthcare delivery alongside an increasing adoption of telehealth services . Innovations like virtual wards integrate wearable devices and smart home sensors for continuous patient monitoring from home .
Tom highlights that this decentralisation “ not only alleviates pressure on healthcare facilities but also streamlines resource allocation ,” leading to shorter waiting times and more efficient spending .
With proprietary AI technology trained on a massive dataset of 350 million patients , large biomedical knowledge-graphs , and clinical trial data , QuantHealth , an AI company conducting patient-centric drug simulations , has a platform that can predict trial outcomes with significant accuracy .
It can test thousands of protocol variations and discover the optimal trial design for success , helping R & D teams more accurately and rapidly predict clinical trial results and decide whether a trial should proceed .
Indeed , technology like this helped the world move out of lockdown by combatting Covid with a vaccine .
Years before Moderna created a highly effective mRNA vaccine against COVID , the company put into place AI systems to accelerate the research process . These systems allowed the company to ready its vaccine for human trials in just 42 days .
Indeed , studies undertaken by Bekryl reveal that the implementation of AI could save the entire industry around US $ 70bn by 2028 .
158 January 2025