Building a complete developmental trajectory of cells is close to impossible with today’s technology, but new technology developed at the Waisman Center is taking scientists a step closer to achieving it. Machine learning, a form of artificial intelligence, can step in to help fill in the gaps.
Machine Learning
Utilizing AI to better understand the genotype-phenotype connection
There are thousands if not millions of steps to get from genotype, your genetic code, to phenotype, your physical attributes.
New app aimed at increasing accessibility to machine learning analysis techniques
A new app developed at the Waisman Center makes it easier than ever for researchers to use machine learning techniques to analyze large complex data sets without specialized or specific training.
New machine learning tool helps researchers demonstrate effectiveness of stem cell based models
Today, many researchers are using brain organoids – miniaturized and simplified versions of organs produced in a dish typically from stem cells – as analogs for studying the development of the human brain.