Journal Club #14

On Wednesday, May 31, Urban Simončič will present a paper titled A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. You can find the article here. We start at 11 AM in lecture room F4.

See you there!

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Journal club #13

On Wednesday, May 17, Nina Verdel will present a paper titled In Vivo Multiphoton-Microscopy of Picosecond-Laser-Induced Optical Breakdown in Human Skin. You can read the article here. We start at 11 AM in lecture room F4.

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Lecture by Ivan Štajduhar

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On Wednesday, May 10th, 2017 at 16:00, assoc. prof. Ivan Štajduhar (Department of Computer Engineering, University of Rijeka – Faculty of Engineering) will give a lecture titled Artificial Intelligence in Medicine. The lecture will be held in lecture hall F2 (first floor) in the physics department building, Jadranska 19, Ljubljana.

Artificial Intelligence in Medicine
Would it be possible to supersede physicians with computers, to some extent, at least? The idea of computer-aided diagnosis in diagnosing and treating illnesses has been around from nineteen-eighties. It was then that scientists discovered that, by applying statistical algorithms on real-world patient data, using so-called machine learning, one can establish useful (almost-)out-of-the-box mathematical models that perform well at describing some problems. In the last decade, significant increases occurred worldwide in the level of informatics-readiness of clinical centres, in the availability of standardised technology for data exchange and storage, and in the abundance of quality medical radiology techniques. This, in turn, resulted in an explosion in the availability of voluminous data, enabling further advances in the field of computer-aided diagnosis and treatment. In this lecture, in addition to some fundamentals related to the field, several topics concerning medical image analysis will be discussed: learning predictive models for diagnosing knee injury, data preprocessing for reducing model complexity and transfer learning in medical radiology domain (“RadiologyNet”, a research project conducted in collaboration with the Clinical Hospital Centre Rijeka, Croatia).

Thyroid day and “Helping patients with thyroid disease” charity

ThroidCancerIn the month of May (26th May) a meeting called “Thyroid day” will take place in University Medical Centre Ljubljana. On this day lectures will be held in lecture hall 1 at UKCL on hyperthyroidism, thyroid cancer and other related diseases. Preliminary program can be found here.

Taking place this month is a charity called “Helping patients with thyroid disease” which is raising funds to purchase an ultrasound for Clinic for thyroid disease (Clinic of Nuclear Medicine, UKCL). On 5th April radio and TV Veseljak will dedicate their programs to patients with thyroid disease with famous people, patient representatives and doctors specializing in thyroid disease contributing to the discussion. You can learn more about this event here as well as how you can contribute to the fundraiser.

Lecture by prof. Robert Jeraj

On Friday, 31st March 2017, professor Robert Jeraj will present a physics colloquium titled Implications of Tumor Heterogeneity for Precision Medicine. The lecture will start at 12:15 PM at Faculty of Mathematics and Physics, Jadranska 19, lecture hall F1. Tea (and possibly biscuits) will be served before lecture. Hope to see you there!

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Medical physics is intimately connected with medicine, and is progressing along a similar path. General trend of medicine, particularly oncology, towards personalized treatment gave rise to precision medicine, which addresses the highly complex nature of disease. However, there are severe obstacles to overcome. For example, cancers evolve in time to become harder targets to treat. Understanding treatment resistance, and its development, often connected with the highly heterogeneous nature of the disease, is another key obstacle. Use of multi-modality imaging techniques such as molecular imaging is one of the solutions that medical physics can offer. Examples from clinical trials utilizing advanced molecular imaging, highlighting intra-tumor and inter-tumor heterogeneity will be presented. New understanding of cancer treatment response dynamics will be outlined. Potential for improved patient treatment designs steaming from these novel insights will be discussed.