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UID:pretalx-europython-2024-LYNADL@programme.europython.eu
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DESCRIPTION:Hemolytic anaemias are a group of disorders characterised by th
 e loss of integrity of the red blood cell membrane that leads to premature
  RBC clearance. These conditions often are heterogeneous in the genetic ca
 uses\, complicating diagnosis by high throughput DNA sequencing. We applie
 d deep learning technologies to build a diagnostic tool for hemolytic anae
 mias. We used an Imaging Flow Cytometer to obtain images of red blood cell
  membranes for several hemolytic anaemias and then trained the deep neural
  network to distinguish the stages of the disease using Keras and TensorFl
 ow. This project combines Python-based machine learning with socially viab
 le healthcare applications.
DTSTAMP:20260513T154407Z
LOCATION:Main Hall C
SUMMARY:Rapid detection of red cell membrane defects leading to hemolytic a
 naemias - Tess Afanasyeva
URL:https://programme.europython.eu/europython-2024/talk/LYNADL/
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