human health

Professors discuss big data and human health in latest Sci-Café

1 min read · Mon, Mar 13 2017

machine learning big data artificial intelligence comparative genomics biomedical data human health

Professors Takashi Gojobori, Xin Gao and Robert Hoehndorf spoke about big data and human health at the Sci-Café event held on February 27. Their talk, which was moderated by James Calvin, Vice President for Academic Affairs, aimed to answer the question, "Can Big Data Solve My Health Problems?" This event was open to all members of the KAUST community.

LD Motif Finder locates ancient hidden protein patterns

1 min read · Mon, Jan 6 2020

artificial intelligence machine learning human health bioscience

A machine learning method has identified highly elusive amino acid sequences involved in cell morphogenesis and adhesion and in diseases like cancer.

New database to "SpUR" on cancer research

1 min read · Sun, May 29 2022

human health cancer Computer science

Xin Gao's team developed an interactive web portal where cancer scientists can interrogate how RNA splicing in noncoding parts of genes fuels the growth of different types of tumors.

AI helps diagnose post-COVID lung problems

1 min read · Sun, May 29 2022

human health Imaging machine learning Computer science

A new AI diagnostic tool developed by KAUST scientists allows doctors to visualize lung damage caused by COVID-19 in more detail.