AI and IoT in biotech
From novel drug discovery to animal behaviour monitoring, AI and IoT in biotech are gaining momentum at unheard-of rates. If you’re looking to operate or invest in most biotech sectors, it’s worth seeing what innovators in artificial intelligence; like us, and the internet of things are doing to revolutionise the space.
What’s happening with AI and IoT in biotech?
Across most use cases, efficiency and cost reduction are the primary benefits of AI and IoT rollouts. Here are some of the areas where we have first-hand knowledge of how these two technologies are impacting production and performance:
Microbiome Analysis
Producers are keen to know about their herd’s potential disease factors and monitor them for changes so they can quickly restore and rebalance their microbiome. IoT sensors and sampling can gather that critical data, and then our AI and machine learning (ML) platform looks at microbiome 16s rRNA to improve animal health, offer nutrition suggestions, carry out research, make decisions quickly and do it all more cost-effectively than previously.
Parasitology
“Computerised Classification of Faecal Egg Counting and Motility Indexing” is an important mouthful. It’s at the leading edge of parasitic research and helps us to combat issues like drug resistance. Our AI and ML platform uses image classification technology with embedded algorithms to speed up faecal egg counting and motility indexing without sacrificing accuracy or validity. This means a faster time-to-a-cure, has massive implications for drug discovery and reduces human error.
Novel Drug Design & Discovery
In disease treatment and prevention, using AI to accurately extract important features from a test set and generate valid prediction models makes the whole process faster. Our algorithm, for example, can generate strong leads on potential new drugs at a faster pace. It doesn’t tire and it doesn’t overlook things. However, AI doesn’t replace human experts; instead, it simply informs them, just ramping up the speed at which they can operate.
Animal Behaviour
IoT is used to monitor animal behaviours using both animal and non-animal mounted technology. That’s then fed into AI and ML platforms like ours to help operators make informed decisions on environmental and management protocols based on those animal behaviours. The goal here is improved yield, but monitoring in this way is also better for overall welfare and loss reduction.
Crop & Environmental Management
Just like with animal behaviour monitoring, IoT is used to get data on plant health, environments and nutrient availability too. That then gets put through ML and AI to extract core insights. It works indoors and outdoors, making sure producers have up-to-the-minute information on the growing conditions of their crops so yields can also be optimised.
If you’d like to see how our AI platform can support your operation to improve yields or speed up research, please get in touch today.