Clover Bioanalytical Software specializes in developing AI-driven solutions for research, diagnostic and identification application of complex analytical devices. We have a wide experience in applications like microbial identification, early disease diagnostics, biomarker discovery and other applications. Formed by a group of Ph.D. in various disciplines, with extensive experience in business and research, it provides a perfect combination to develop cutting-edge statistical analysis and software projects in the biomedical field.
We are also experts in creating software for all levels of management of analytical instrumentation, from the lower embedded layers of firmware up to the high-level applications.
We are truly committed to our clients, considering their objectives and the scalability of the systems. Among our team there are experts in biomedicine, chemistry and biotechnology who speak your language and understand your needs.
AI SPECIALISTS
Specialists in AI and software development applied to clinical diagnostics, medical imaging and analytical applications
SMART SOFTWARE IS ALWAYS USABLE
A strong customer base, built upon usable software achieved through our continuous contact with the needs of the users.
SOFTWARE DEVELOPMENT
We create web-based applications using agile methodologies, TDD (Test Driven Development) and we are passionate about clean code and the maintainability of what we create
A COLLABORATIVE ENTERPRISE
Strong partnerships globally, and willing to create many more
AI-powered software for research on fast, accurate and cost-efficient Microorganisms Resistance Analysis and Strain Typing using both MALDI-TOF MS and FTIR data
Development and validation of a quick, automated and reproducible ATR-FTIR spectroscopy machine learning model for Klebsiella pneumoniae typing. Ângela Novais, Ana Beatriz Gonçalves, Teresa Ribeiro, Ana Freitas, Gema Méndez, Luis Mancera, Antonia Read, Valquiria Alves, Lorena López-Cerero, Jesús Rodríguez-Baño, Alvaro Pascual, and Luísa Peixe. Journal of Clinical Microbiology, Accepted. Dec 2023. 
Discrimination between hypervirulent and non-hypervirulent ribotypes of Clostridioides difficile by MALDI-TOF mass spectrometry and machine learning. Ahmed Mohamed Mostafa Abdrabou, Issa Sy, Markus Bischoff,Manuel J. Arroyo, Sören L. Becker, Alexander Mellmann, Lutz von Müller, Barbara Gärtner, Fabian K. Berger. European Journal of Clinical, Sep 2023.
Rapid Discrimination of Pseudomonas aeruginosa ST175 Isolates Involved in a Nosocomial Outbreak Using MALDI-TOF Mass Spectrometry and FTIR Spectroscopy Coupled with Machine Learning. Ana Candela, Manuel Arroyo, María Sánchez-Cueto, Mercedes Marín, Emilia Cercenado, Gema Méndez, Patricia Muñoz, Luis Mancera, David Rodriguez-Temporal and Belén Rodríguez-Sánchez. Transboundary and Emerging Diseases, Sep. 2023.
More than 15 years of experience in business, programming, statistics and bioinformatics
Senior Data Scientist
Senior Software Engineer
Senior Application Specialist
Bioinformatician
Human Resources
Founder
Business Development. Executive Director at Ascend Diagnostics, Ltd. Manchester (UK)
Consultant, Department of Infection, Royal Free Hospital, NHS Foundation Trust. Honorary Clinical Senior Lecturer at University College London
Doctor and researcher at the Medical University of Vienna
Recently, Rui et al. published the journal pre-proof of their review “Machine learning in predicting antimicrobial resistance: a systematic review and meta-analysis” which will be published in the International Journal…
Clover MS Data Analysis software has been updated recently to v6 version which includes improvements and new features like the implementation of Light Gradient Boosting Machine (LightGBM) algorithm (Figure 1)….
Between November 18th and 24th, the World Health Organization – with its slogan Antimicrobials: Handle with care – will promote and raise awareness about the correct use of antimicrobials, highlighting…
