25 papers · ranked by Valyu relevance
Durga Shree Nagabushanam, Sree Dharinya S, V. Sree Dharinya, Nadendla Sai Roopa + 1 more
'Nadendla Sai Roopa' 'Anugu Arun'] Abstract— The requirements in automation, digitalization, and fast computations have loaded the IT sector with expectations of highly reliable, efficient, and cost-effective software. Given that the process of testing, verification, and validation of software products consumes 50-75%…
Marcela G. dos Santos, Sylvain Hallé, Fabio Petrillo, Yann-Gaël Guéhéneuc
Industrial robotic systems (IRS) consist of industrial robots that automate industrial processes. They accurately perform repetitive tasks, replacing or assisting with dangerous jobs like assembly in the automotive and chemical industries. Failures in these systems can be catastrophic, so it is important to ensure…
Anurag Dwarakanath, Dipin Era, Aditya Priyadarshi, Neville Dubash + 1 more
'Sanjay Podder'] Abstract—Test automation involves the automatic execution of test scripts instead of being manually run. This significantly reduces the amount of manual effort needed and thus is of great interest to the software testing industry. There are two key problems in the existing tools & methods for test…
Wang Shua, Yinan Yu, Robert Feldt, Dhasarathy Parthasarathy
Case Study Authors: ['Wang Shua' 'Yinan Yu' 'Robert Feldt' 'Dhasarathy Parthasarathy'] Abstract—Vehicle API testing verifies whether the interactions between a vehicle's internal systems and external applications meet expectations, ensuring that users can access and control various vehicle functions and data. However…
Vahid Garousi, N. Eneh Joy, Alper Buğra Keleş
evaluation Authors: ['Vahid Garousi' 'N. Eneh Joy' 'Alper Buğra Keleş'] Abstract—Context: Test engineers are looking at more ways to test system more effectively and efficiently. Automated Software testing facilitated a significant advancement in accelerating test processes compared to manual methods. With recent…
Rajesh Mathur, Scott B. Miles, Miao Du
—Checking software application suitability using automated software tools has become a vital element for most organisations irrespective of whether they produce in-house software or simply customise off-the-shelf software applications for internal use. As software solutions become ever more complex, the industry…
Robert Mischke, Kathrin Schaffert, Dominik Schneider, Alexander Weinert
'Alexander Weinert'] Abstract. Research software is often developed by individual researchers or small teams in parallel to their research work. The more people and research projects rely on the software in question, the more important it is that software updates implement new features correctly and do not introduce…
Bahar Ünlü Gül, Oğuzhan Özcan, Serdar Doğan, Abdullah Arpaci
Introduction Autoverification (AV) is a postanalytical tool that uses algorithms to validate test results according to specified criteria. The Clinical and Laboratory Standard Institute (CLSI) document for AV of clinical laboratory test result (AUTO-10A) includes recommendations for laboratories needing guidance on…
Authors not listed
The development of polymer materials for real-world applications requires careful assessment of material degradation over time and under environmental exposure. Such tests often necessitate frequent monitoring of test specimens, which can become burdensome for researchers. In this study, we present the application of a…
José Luis Villanueva-Cañas, Eva Gonzalez-Roca, Aitor Gastaminza Unanue, Esther Titos + 3 more
Current global pandemic due to the SARS-CoV-2 has struggled and pushed the limits of global health systems. Supply chain disruptions and scarce availability of commercial laboratory reagents have motivated worldwide actors to search for alternative workflows to cope with the demand. We have used the OT-2 open-source…
Jing Zhu, Hao Wang, Beili Wang, Xiaoke Hao + 20 more
1## INTRODUCTION Medical laboratory technologists usually have to make a quick judgment on a vast number of reports in a short period of time. However, with the increasing number of test specimens, the traditional manual auditing mode has drawbacks under high pressure. Technologists inevitably become fatigued, and…
Authors not listed
Bridging AI and self-driving laboratories, we introduce the first fully-automated, closed-loop molecular discovery cycle, exemplified by the identification of novel JAK inhibitors. With minimal human intervention, we combined AI-driven molecular design and retrosynthesis with IBM’s synthesis automation system RoboRXN…
Vladimira Rimac, Jelena Vlašić Tanasković, Anja Jokić, Lorena Honović + 2 more
'Lorena Honović' 'Sonja Podolar' 'Jasna Leniček Krleža'] Title: Graphical abstract
Robert Shaw, Grant Hill
The basis set used in quantum chemical calculations for molecular applications is vital to the accuracy and efficiency of the calculation, but the development of novel basis sets is hindered by an opaque process and inaccessibility of the tools required. We present here BasisOpt, a tool for the automated optimization…
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Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
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Automation of experiments in cloud laboratories promises to revolutionize scientific research by enabling remote experimentation and improving reproducibility. However, maintaining quality control without constant human oversight remains a critical challenge. Here, we present a novel machine learning framework for…
Matthias Täufer
Pooling of samples can increase lab capacity when using Polymerase chain reaction (PCR) to detect diseases such as COVID-19. However, pool testing is typically performed via an adaptive testing strategy which requires a feedback loop in the lab and at least two PCR runs to confirm positive results. This can cost…
Ulrich Sack, Xavier Bossuyt, Hristina Andreeva, Péter Antal-Szalmás + 24 more
'Nicola Bizzaro' 'Dimitrios Bogdanos' 'Elena Borzova' 'Karsten Conrad' 'Marie-Agnes Dragon-Durey' 'Catharina Eriksson' 'Katarzyna Fischer' 'Anna-Maija Haapala' 'Ingmar Heijnen' 'Manfred Herold' 'Werner Klotz' 'Ana Kozmar' 'Andrea Tesija Kuna' 'Marcos López Hoyos' 'Vladimir A. Malkov' 'Lucile Musset' 'Eszter Nagy'…
Luigi Cinquanta, Nicola Bizzaro, Giampaola Pesce
The recent availability of automated computer-assisted diagnosis (CAD) systems for the reading and interpretation of the anti-nuclear antibody (ANA) test performed with the indirect immunofluorescence (IIF) method on HEp-2 cells, has improved the reproducibility of the results and initiated a process of harmonization…
Junan Zhu, Kristina Rivera, Dror Baron
Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PCR, require substantial resources to test large populations. We develop a scalable approach for determining the viral status of pooled…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Fayyaz Minhas, Dimitris Grammatopoulos, Lawrence Young, Imran Amin + 4 more
One of the challenges in the current COVID-19 crisis is the time and cost of performing tests especially for large-scale population surveillance. Since, the probability of testing positive in large population studies is expected to be small (<15%), therefore, most of the test outcomes will be negative. Here, we propose…
Tara N. Furstenau, Jill H. Cocking, Crystal M. Hepp, Viacheslav Y. Fofanov
Due to the large number of negative tests, individually screening large populations for rare pathogens can be wasteful and expensive. Sample pooling methods improve the efficiency of large-scale pathogen screening campaigns by reducing the number of tests and reagents required to accurately categorize positive and…
Jansen N. Seheult, Michelle N. Stram, Lydia Contis, Raymond E. Pontzer + 7 more
PittUDT, a recursive partitioning decision tree algorithm for predicting urine culture (UC) positivity based on macroscopic and microscopic urinalysis (UA) parameters, may significantly decrease the number of unnecessary UC. The reflex algorithm derivation included 38,361 paired UA and UC cases; the average patient age…
Haidong Yi, Alec Plotkin, Natalie Stanley
Modern single-cell data analysis relies on statistical testing (e.g. differential expression testing) to identify genes or proteins that are up-or down-regulated in relation to cell-types or clinical outcomes. However, existing algorithms for such statistical testing are often limited by technical noise and cellular…