30 November 2021 | Indica Labs is pleased to announce our 7th Annual HALO® User Group Meeting to be held in conjunction with the Digital Pathology & AI Congress in London on 30 Tuesday November from 12:00 to 16:00. A lunch will be provided to all pre-registered attendees.
21 October 2021 | Gastric cancer is the fourth-leading cause of cancer death worldwide. About 80% of cases are attributable to infection with the bacterium Helicobacter pylori (Hp). Untreated Hp infection causes lifelong stomach inflammation that does not eradicate the bacterium. In some individuals, stomach inflammation leads to preneoplastic progression, a series of sequential tissue changes including loss of gastric acid-producing parietal cells, metaplasia, dysplasia, and finally cancer.
6 October 2021 | CD38, a druggable ectoenzyme, is involved in the generation of adenosine, which is implicated in tumor immune evasion. Its expression and role in prostate tumor-infiltrating immune cells (TIICs) have not been elucidated.
CD38 in the Prostate Tumor Microenvironment Read More »
Albuquerque, NM, 2 September, 2021 – Indica Labs, a leading provider of computational pathology software, is proud to announce that they have been awarded a Top Workplaces™ honor by The Albuquerque Journal for a second year in a row. In addition to being a Top Workplace, Indica Labs was the sole recipient of the Life/Work Flexibility award for 2021.
23 September 2021 | DigiBase invites you to attend a Spatial Biology webinar symposium to learn from experts in the field on how digital pathology, high-dimensional multiplexing, spatial and AI analytic tools, and spatial transcriptomic technologies are advancing tissue imaging and analysis.
Spatial Biology: Revolutionizing Tissue Imaging and Analysis Using Spatial profiling Read More »
Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern I was assigned to work on the Halo Link team. Before working on the Halo Link team I had no experience in Web Development which is the main skill I picked up in my time here so far. To be specific, before I started I did not know JavaScript and am now quite proficient at it along with learning an enterprise level framework and many other technologies that are needed to be a proficient developer.
An interview with Charles Habermehl, Software Engineer (Previous Intern) Read More »
Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern, I worked on the project to build quota-system where the customer can buy some quota whether it be quota for doing analysis, disk storage, etc. I also worked on building a loginAttempt feature where we can track important information such as customers’ ip address and which service they logged in from. The projects helped me in getting better at being able to design domain models, how middle-wares can work and how to hook up to GraphQL.
An interview with Anas Gauba, Software Engineer (Previous Intern) Read More »
Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern I worked on developing ASP.NET Core based infrastructure solutions utilizing https/web socket technology while incorporating native and db interactions.
Q2. What do you enjoy most about working at Indica Labs?
An interview with Dylan Balata, Software Engineer (Previous Intern) Read More »
An Interview with Adam Smith, Director of Life Science Applications, North America and Australasia
8 September 2021 | Digital pathology provides an advantage of automatizing many routine pathological tasks via computational algorithms and tools. The reporting of prostate cases is time-consuming due to a large number of slides per case. Moreover, tumor aggressivity grading (Gleason score) is well known for its subjective nature and high levels of interobserver variability. In this webinar, we will demonstrate a deep learning-based tool developed for the detection of prostate cancer in histological slides (prostate biopsies and prostatectomy specimens) and its histological grading (Gleason grading). We will present the results of the actual validation study showing high levels of accuracy in both tasks. We will discuss the practical aspects of the implementation of such tools in the diagnostic routine.
Automated Detection and Gleason Grading of Prostate Cancer in Digital Pathology Read More »
