Buried under a layer of dust in a forgotten corner of a bookshelf, I locate, after a considerable amount of searching, my old university yearbook. Each person in the 2001 batch at the National University of Computer and Emerging Sciences has their.
Proud moment for Pakistan as Google shares former DSC Lead Krinza Momin’s story
>There is no doubt in our minds that Pakistan has one of the most talented group of people living within it at this time. We have the best doctors, engineers, scientists, businessmen and women, artists, singers, dancers, and musicians. Any profession that you can name, Pakistan will have someone for you.
It is also, unfortunately, a fact, that many of these people go unnoticed because of lack of resources, lack of funding, or simply, the lack of courage. But once in a while, when a Pakistani comes along and gets highlighted, not only on a national level, but across the globe in an international community, it becomes a proud day for each and every Pakistani out there.
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Researchers from the University of Kent have developed a computer algorithm that can identify differences in cancer cell lines based on microscopic images, a unique development towards ending misidentification of cells in laboratories.
Cancer cell lines are cells isolated and grown as cell cultures in laboratories for study and developing anti-cancer drugs. However, many cell lines are misidentified after being swapped or contaminated with others, meaning many researchers may work with incorrect cells.
This has been a persistent problem since work with cancer cell lines began. Short tandem repeat (STR) analysis is commonly used to identify cancer cell lines, but is expensive and time-consuming. Moreover, STR cannot discriminate between cells from the same person or animal.