Machine learning, a branch of artificial intelligence (AI), has come a long way in tons of fields including biology. With loads of data and smart algorithms, machine learning is now able to spot patterns, make predictions and give insights that were once out of reach. Newswise brought this topic to us in their article, “How Machine Learning Is Propelling Structural Biology.”
One of the biggest game-changers for machine learning in biology is genomics. The human genome has over three billion base pairs, so making sense of all that genetic info is a huge challenge. Machine learning algorithms can dive into genomic data with speed and impressive accuracy, giving scientists new tools to work with.
These models can also predict genetic disorders by finding patterns in genetic sequences. By looking at big datasets, machine learning can find links between specific genetic changes and disease traits, which helps with early diagnosis and even opens doors for early treatments.
As machine learning keeps getting better, its mix with biology is set to open up new possibilities for understanding life itself and making strides in human health.
Data Harmony is a fully customizable suite of tools that boosts precision and efficiency in managing and retrieving information. It includes everything you need for building taxonomies, creating thesauruses, machine-aided indexing, managing databases, retrieving info and even explainable AI.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
|
Sponsored by Access Innovations, uniquely positioned to help you in your AI journey.
