CancerCenter.ai
Wojciech Komolka is an experienced design professional currently serving as Product Design Lead at Tpay since February 2023, while also working as a Service Designer at Imagination since January 2021. Previous roles include Product Design Lead at PSI Polska Sp. z o.o. (August 2021 - February 2023), Senior UX Designer at Santander Bank Polska (October 2018 - July 2021), and Product Designer at PIXELZ (November 2018 - October 2019). Additional experience encompasses roles as a UX Designer at eFRESH and Kiwi Solutions IMHO Group from February 2017 to November 2018, a UX Designer at Polskie Wydawnictwo Rolnicze Sp. z o.o. (April 2016 - February 2017), and a Web Designer at WK Design (December 2013 - November 2015). Wojciech holds an Engineer's degree in information technology from the University of Technology, earned between 2012 and 2016.
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CancerCenter.ai
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Cancer Center is a company that applies deep learning techniques to the field of pathology/oncology/radiology.We support Oncology Diagnosis (Pathology and radiology) in better and faster diagnosis using AI (Deep Learning (DL) and Machine Learning (ML))In Pathology (https://pathology.cancercenter.ai)We provide Manual WholeSlide Imaging Software (PathoCam) to save pathology images by using your own microscope equipment. PathoPlatform - Web (https://pathoplatform.cancercenter.eu): The zoom/view, annotate and share it by web/browser + AI modules to support Pathologist in Cancer DiagnosisIn Radiology:DICOM web viewer to analyse Radiology images (MRI, CT, USG others) we work under AI modules to support radiologist in diagnosis processWe have developed specialized algorithmic solutions to analyze medical images for Pathology and radiology for faster and better than human accuracy. Our solutions, which are both in API and Web Platforms, are designed to offer faster and better access for second and third diagnostic opinions by medical professionals to help develop a therapeutic approach quickly. This will help the patients and physicians by reducing anxiety caused by not knowing what they are dealing with.Our solutions do all the work—segment images, find regions of interests, generate statistical descriptions of images, count cells, mitosis, and even recognize the type of cell.Your focus—saving lives, our focus—image processing and fast detectionMore about us and our projects: https://cancercenter.ai