Our custom AI solutions use big data techniques to help biotech firms build the future of healthcare.
Wearable medical technology is already changing people’s lives for the better. What’s really exciting is just how much more is possible for biotech firms who embrace data science and AI at every level, to build truly data-driven patient outcomes.
AI can be applied to life sciences in so many ways. You can speed up manual patient record processing, using automated OCR (optical character recognition) data extraction. Or connect these patient data points from disparate sources using data warehousing. Next? Make new inferences, and build a richer diagnostic picture. Then, use applied AI techniques to analyse, cross reference, and scour medical journals to diagnose and predict patient outcomes.
Machine learning is not just helping process medical text records either – algorithms can be trained to recognise, understand, and classify medical imagery like X-rays, MRI scans and even photographs of symptoms. Using AI image recognition can augment and improve decision making for clinicians, meaning faster and more accurate diagnoses.
The possibilities for AI in biotech are huge. We can make what’s possible, reality.
IOT projects using sensors and wearable technology improve people’s lives, and ultimately, promote better health. No matter how big or small your dataset or ambition, we can help you develop the right AI solution. Using personal health data is key to empowering patients. Deploying AI to analyse and interpret IOT data is the next logical step. We’ll help you see the bigger picture, and do so much more with your data.
We’ve built and trained complex algorithms to analyse medical imaging. AI is able to compare medical images across millions of connected data points infinitely faster than a human. It can identify disease markers in seconds. Or suggest a likely diagnosis. AI applications can also cross reference similar past cases, to identify the best course of treatment and likely outcome.
We can help further biotech research projects by applying AI, to create differential privacy models for your data. Anonymising data is crucial in healthcare research, and our custom built AI solutions ensure that your patient data is not at risk. Applying machine learning techniques can also reduce the risk of introducing bias in medical research modelling, for more accurate outcomes.
AI completely transforms the speed of progress in life science research. We can deploy natural language processing tools to quickly parse data from a vast array of sources, like medical journals, research papers, and lab reports. So whether you’re discovering new drugs, or running clinical trials for existing treatments, AI allows you to connect the dots faster and get ahead of the game.
With a custom approach, we’re able to handle everything from the smallest to the most complex problems in medical technology. AI is our bread and butter, and we’re adept at understanding where existing technology can be applied in new ways to make giant leaps forward for biotech firms.
At Fuzzy Labs, we work collaboratively with our clients to fully understand the issues and opportunities, always scaling our solutions to be cost effective. So whether you need a smarter way of linking MRI scans to patient records, or a robust solution for anonymising your patient data in clinical trials, we can help.