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HUN-REN Szegedi Biológiai Kutatóközpont


Can we stop antibiotic resistance in ruining promising drugs before they reach patients?

Researchers propose a five-step decision-making framework to identify resistance risks early, refine promising drug candidates, and prevent costly failures. The framework groups antibiotic candidates into five main risk categories, helping developers decide which compounds to prioritize, redesign or pursue for more targeted applications.

SourceHUN-REN Szegedi Biológiai Kutatóközpont·JournalNature Reviews Microbiology·DateOct 22, 2026

Cell by cell: New machine-learning-based method reveals what can make bacteria dangerous

A new method, MALVINA, connects bacterial entry into cells, host-cell responses, DNA damage, and genetic background at the single-cell level. This allows researchers to measure the efficiency of bacterial entry, accumulation, and DNA damage, separating distinct virulence profiles among different bacterial strains.

SourceHUN-REN Szegedi Biológiai Kutatóközpont·JournalNature Communications·TypeExperimental study·DateSep 30, 2026

Szeged researchers accelerate personalized medicine with AI-powered 3D cell analysis

Researchers at HUN-REN Szegedi Biológiai Kutatóközpont have developed an AI-powered platform for automated 3D cell culture analysis, enabling high-precision screening of cellular models. The technology removes the limitation of throughput in personalized medicine, allowing for fast and accurate analysis of clinical samples.

SourceHUN-REN Szegedi Biológiai Kutatóközpont·JournalNature Communications·DateOct 21, 2025

Antibiotics of the future are prone to bacterial resistance

Recent studies have found that new antibiotics are prone to rapid development of resistance, even before they are widely used. This raises concerns about the effectiveness of these treatments in the long run. To address this issue, researchers call for a shift in antibiotic development prioritizing novel modes of action and responsible...

SourceHUN-REN Szegedi Biológiai Kutatóközpont·JournalNature Microbiology·TypeExperimental study·DateJan 30, 2025