A newDNAstructure inside human cells known asthe “i-motif”, has been identified by scientists. This form resembles a twisted “knot” of DNA, instead of the well-known double helix first described by James Watson and Francis Crick.
Source: co.uk
This discovery was made by chance, from routine endoscopies – a procedure that involves inserting a thin camera into a person’s gastrointestinal tract. Newer approaches enable doctors to use this procedure to get a microscopic look at the tissue inside a person’s gut at the same time, with some surprising results.
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Applications of deep learning to medical disciplines including ophthalmology, dermatology, radiology, and pathology have recently shown great promise to increase both the accuracy and availability of high-quality healthcare to patients around the world. At Google, we have also published results showing that a convolutional neural network is able to detect breast cancer metastases in lymph nodes at a level of accuracy comparable to a trained pathologist. However, because direct tissue visualization using a compound light microscope remains the predominant means by which a pathologist diagnoses illness, a critical barrier to the widespread adoption of deep learning in pathology is the dependence on having a digital representation of the microscopic tissue.
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