3 research outputs found
Towards Early Prediction of Human iPSC Reprogramming Success
This paper presents advancements in automated early-stage prediction of the
success of reprogramming human induced pluripotent stem cells (iPSCs) as a
potential source for regenerative cell therapies.The minuscule success rate of
iPSC-reprogramming of around to makes it labor-intensive,
time-consuming, and exorbitantly expensive to generate a stable iPSC line.
Since that requires culturing of millions of cells and intense biological
scrutiny of multiple clones to identify a single optimal clone. The ability to
reliably predict which cells are likely to establish as an optimal iPSC line at
an early stage of pluripotency would therefore be ground-breaking in rendering
this a practical and cost-effective approach to personalized medicine. Temporal
information about changes in cellular appearance over time is crucial for
predicting its future growth outcomes. In order to generate this data, we first
performed continuous time-lapse imaging of iPSCs in culture using an ultra-high
resolution microscope. We then annotated the locations and identities of cells
in late-stage images where reliable manual identification is possible. Next, we
propagated these labels backwards in time using a semi-automated tracking
system to obtain labels for early stages of growth. Finally, we used this data
to train deep neural networks to perform automatic cell segmentation and
classification. Our code and data are available at
https://github.com/abhineet123/ipsc_prediction.Comment: Accepted for publication at the Journal of Machine Learning for
Biomedical Imaging (MELBA) https://melba-journal.org/2023:01
Uremic encephalopathy manifesting with a unique MRI finding (the lentiform fork sign) in an adult male: A case report
Key Clinical Message A novel radiologic sign in patients with renal failure and uremic encephalopathy (UE) with metabolic acidosis has recently been identified as the lentiform fork sign. On magnetic resonance imaging (MRI), the âlentiform fork signâ has been described as bilateral symmetrical hyperintensities in the basal ganglia encircled by a hyperintese rim delineating the lentiform nucleus. Changes in uremic solute retention, aberrant bloodâbrain barrier transport, disordered vascular reactivity, altered electrolyte and acidâbase balance, and altered hormone metabolism are the most likely causes of the condition. A 56âyearâold male with endâstage renal disease was brought to the emergency room for a progressive change in mental status and involuntary arm movements over the previous 5âdays, which were accompanied by mild dyspnea. A brain MRI was performed, and it revealed hyperintensity on T2/FLAIR in the white matter surrounding the basal ganglia. the patient was treated with dialysis and improved greatly. Intensified hemodialysis and glycemic control are the cornerstones of treating diabetic uremic syndrome (DUS) with likely reversible clinical symptoms and remission of imaging abnormalities