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
The discovery that wounds in the fetus can heal without scarring has prompted scientists to work on designing new biomaterials based on the properties of the fetal skin as promising regenerative strategies.
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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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