Thea Nikolaou/Dr. Solomon - Week 3

 During this week I followed Dr. Hissong in GI Pathology while they reviewed and signed-out cases. I got to attend the GI pathology consensus meetings which were interesting as the pathologists reviewed cases which they were uncertain about or needed a second pair of eyes prior to confidently sending out a diagnosis. I got to learn more about what GI pathologists get to see on a daily basis and the significance of their work in patient care. Something particularly interesting to me was about appendicitis which can sometimes be caused by tumors rather than simply being inflammation. This was an important note because if appendicitis was related to abnormal growth the patient would need to go back to the hospital for more testing and monitoring, but since appendectomies are typically emergency routine procedures the patients are long gone prior to the pathology diagnosis and they are difficult to reach as they do not usually have prior association with the hospital. 

On Friday, I got to spend most of my day in the Emergency Department and followed Dr. Mollinelli. There were many older patients suffering from chronic conditions that suddenly got worse and after consulting their primary care physicians were advised to head to the ED. I got to meet a few patients and learn about their conditions. I was also very impressed by the stroke emergency response which was a huge rush from the moment a stroke patient was inside the department with almost every nurse and ED doctor present at the site followed by several neurologists. Once the patient was stabilized they were then rushed for a CT scan. The main issue with strokes is the need for a quick diagnosis distinguishing between hemorrhagic and ischemic stroke as the treatment method for each is very different and can be detrimental to the patient if the stroke is incorrectly classified. Overall, I was very impressed by the rapid responses and patience of the doctors and nurses as well as the number of patients that are accommodated in the ED daily. 

For my research project, I was able to get the initial set up for R workbench as well as access the necessary databases. I started making some progress in my understanding of mutational signature analysis and how single base mutations can be found and classified using different R packages. I have also made progress in configuring the python environment to train/run the deep learning algorithm available on github to classify tissue type and determine tumor content in scanned pathology slides. 

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