Weill Cornell Medicine
Scientists have made major advances in understanding and developing treatments for many cancers by identifying genetic mutations that drive the disease. Now a team led by researchers at Weill Cornell Medicine, NewYork-Presbyterian and the New York Genome Center (NYGC) has developed a machine learning technique for detecting other modifications to DNA that have a similar effect.
The study, published May 10 in Cancer Discovery, a journal of the American Association for Cancer Research, focuses on a type of chemical modification to DNA, called methylation, that typically silences nearby genes. The new technique can analyze the thousands of DNA methylation changes detected in tumor cells and infer which ones are likely driving tumor growth.
December 16, 2020
Wuhan man recounts struggles after father and pregnant wife contract Covid-19.
South China Morning Post
Cheng Pan expected to begin 2020 welcoming a newborn son. Instead, he spent it battling to save three generations of his family from the impact of the killer Covid-19 virus.
Now, the 30-year-old accountant from Wuhan is demanding answers and accountability for how the local government mishandled the outbreak of a disease which even official figures say killed more than 3,000 and infected 50,000 in the city alone.
For many families in Wuhan, the start of the year should have been a happy time, but the city – including Cheng and his family – was plunged into devastation as the mystery virus struck.
Family in China who survived Wuhan’s coronavirus outbreak demands the truth over government’s slow actions
Three generations of Cheng Pan’s family were caught up in the coronavirus in Wuhan, with his newborn child separated from his wife straight after he was born
Now their biggest wish – apart from their safety – is the truth be told over the government’s actions, to avoid similar mistakes being made in future