Diagnosis of such problems before the baby is born, allowing for prompt treatment within a week after birth, is known to markedly improve the prognosis, so there have been many attempts to develop technology to enables accurate and rapid diagnosis. However, today, fetal diagnosis depends heavily on observations by experienced examiners using ultrasound imaging, so it is unfortunately not uncommon for children to be born without having been properly diagnosed. In recent years, machine learning techniques such as deep learning have been developing rapidly, and there is great interest in the adoption of machine learning for medical applications. Machine learning can allow diagnostic systems to detect diseases more rapidly and accurately than human beings, but this requires the availability of adequate datasets on normal and abnormal subjects for a certain disease. Unfortunately, however, since congenital heart problems in children are relatively rare, there are no complete datasets, and up until now, prediction based on machine learning was not accurate enough for practical use in the clinic.
Researchers have produced unprecedented images of a baby's heart while it is still inside the womb. Pregnant women were scanned in an MRI machine and powerful computers built 3D models of the tiny beating hearts inside their unborn children. The team at King's College London and Guy's and St Thomas's says it will improve the care of babies with congenital heart disease. The researchers say their approach could easily be adopted by hospitals. Violet-Vienna developed life-threatening abnormalities in the blood vessels around her heart while she was still inside her mother.
KYOTO – Cancer-related genetic abnormalities have reportedly occurred during the process to transform induced pluripotent stem cells for regenerative medicine supplied by Kyoto University into intended cell types at recipient research institutes. None of the affected iPS cells has been used for transplantation, according to informed sources. It is known that genetic abnormalities could occur when cells are cultured or transformed. Kyoto University's Center for iPS Cell Research and Application, or CiRA, is stockpiling iPS cells that were produced based on cells taken from healthy people. CiRA started to supply them to research institutes and businesses in 2015.