Predictive, integrative, and regulatory aspects of AI-driven computational toxicology - Highlights of the German Pharm-Tox Summit (GPTS) 2024

被引:1
作者
Hassmann, Ute [1 ]
Amann, Sigrid [1 ]
Babayan, Nelly [2 ,4 ]
Fankhauser, Simone [3 ]
Hofmaier, Tina [4 ]
Jakl, Thomas [3 ]
Nendza, Monika [5 ]
Stopper, Helga [6 ]
Stefan, Sven Marcel [7 ,8 ]
Landsiedel, Robert [9 ]
机构
[1] Toxlicon GmbH, Obwaldener Zeile 23, D-12205 Berlin, Germany
[2] Toxometris ai Inc, Glendale, CA USA
[3] Austrian Environm Minist, Spittelauer Lande 5, A-1090 Vienna, Austria
[4] Osterreich Agentur Gesundheit & Ernahrungssicherhe, Spargelfeldstr 191, A-1220 Vienna, Austria
[5] Analyt Lab, Bahnhofstr 1, D-24816 Luhnstedt, Germany
[6] Univ Wurzburg, Inst Pharmacol & Toxicol, Versbacher Str 9, D-97078 Wurzburg, Germany
[7] Univ Lubeck UzL, Univ Med Ctr Schleswig Holstein UKSH, Lubeck Inst Expt Dermatol LIED, Med Chem & Syst Pharmacol ,Med Syst Biol Div, Ratzeburger Allee 160, D-23538 Lubeck, Germany
[8] Med Univ Lublin, Dept Biopharm, Chodzki 4a, PL-20093 Lublin, Poland
[9] BASF SE Expt Toxikol & Okol, Carl Bosch Str, D-67056 Ludwigshafen Am Rhein, Germany
关键词
German Pharma-Tox Summit (GPTS); Computational Toxicology; Artificial intelligence (AI) In silico methods; Computer-aided pattern analysis; Generic Approach to Risk Management (GRA); AIDED PATTERN-ANALYSIS;
D O I
10.1016/j.tox.2024.153975
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The 9th German Pharm-Tox Summit (GPTS) and the 90th Annual Meeting of the German Society for Experimental and Clinical Pharmacology and Toxicology (DGPT) took place in Munich from March 13-15, 2024. The event brought together over 700 participants from around the world to discuss cutting-edge developments in the fields of pharmacology and toxicology as well as scientific innovations and novel insights. A key focus of the conference was on the rapidly increasing role of computational toxicology, artificial intelligence (AI), and machine learning (ML) into the field, marking a shift away from traditional methods and allowing the reduction of animal testing as primary tool for toxicological risk assessment. Tools such as Toxometris.ai showcased the potential of AI-based risk assessments for predicting carcinogenicity, offering more ethical and efficient alternatives. Additionally, computer-driven models like computer-aided pattern analysis (C@PA) for drug toxicity prediction were presented, emphasizing the growing role of chem- and bioinformatic applications in computational sciences. Throughout the summit, there was a strong focus on the need for regulatory innovation to support the adoption of these advanced technologies and ensure the safety and sustainability of chemical substances and drugs.
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页数:4
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