Results 71 to 80 of about 284,062 (202)

AI: the Apollo guidance computer of the Exposome moonshot

Frontiers in Artificial Intelligence
The Exposome—the totality of environmental exposures across a lifetime—remains one of the most significant challenges in understanding and preventing human disease.
Fenna C. M. Sillé, Thomas Hartung, Thomas Hartung, Thomas Hartung   +3 more
doaj   +1 more source

DAIRY FARM DECISIONS ON HOW TO PROCEED IN THE FACE OF TB [PDF]

By early 2000, the number of commercial livestock herds in Michigan with bovine tuberculosis (TB) had increased to the point that policy makers were considering alternative ways to enable farmers to continue production with access to markets while ...
Nott, Sherrill B., Wolf, Christopher A.
core   +1 more source

Sustainable development of smallholder crop-livestock farming in developing countries [PDF]

, 2018
Meeting the growing demand for animal-sourced food, prompted by population growth and increases in average per-capita income in low-income countries, is a major challenge.
Ates, S., Bell, L. W., Cicek, H., Hannaway, D. B., Kassam, S., Louhaichi, M., Mayberry, D. E., Norman, H. C.   +7 more
core   +1 more source

Navigating the unseen peril: safeguarding medical imaging in the age of AI

Frontiers in Artificial Intelligence
In response to the increasing significance of artificial intelligence (AI) in healthcare, there has been increased attention – including a Presidential executive order to create an AI Safety Institute – to the potential threats posed by AI.
Alexandra Maertens, Steve Brykman, Thomas Hartung, Thomas Hartung, Andrei Gafita, Harrison Bai, David Hoelzer, Ed Skoudis, Channing Judith Paller   +8 more
doaj   +1 more source

Toxicity testing: the search for an in vitro alternative to animal testing

British Journal of Biomedical Science, 2009
Prior to introduction to the clinic, pharmaceuticals must undergo rigorous toxicity testing to ensure their safety. Traditionally, this has been achieved using in vivo animal models. However, besides ethical reasons, there is a continual drive to reduce the number of animals used for this purpose due to concerns such as the lack of concordance seen ...
May, J. E., Xu, J., Morse, H. R., Avent, N. D., Donaldson, C.   +4 more
openaire   +2 more sources

Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals. [PDF]

Artif Intell Life Sci, 2021
Silva AC, Borba JVVB, Alves VM, Hall SUS, Furnham N, Kleinstreuer N, Muratov E, Tropsha A, Andrade CH.   +8 more
europepmc   +1 more source

New trends on alternative to animal testings in Japan

Folia Pharmacologica Japonica, 2018
Non-animal alternative test methods have developed in the field of genotoxicity, endocrine disrupter, irritation and skin sensitization, and these are used the safety evaluation of chemical, pesticide, pharmaceutical and cosmetic for regulatory use. For the systemic toxicological endpoints of repeated dose toxicity, carcinogenicity, immunotoxicity and ...
openaire   +3 more sources

Curated Data In - Trustworthy In Silico Models Out: The Impact of Data Quality on the Reliability of Artificial Intelligence Models as Alternatives to Animal Testing. [PDF]

Altern Lab Anim, 2021
Alves VM, Auerbach SS, Kleinstreuer N, Rooney JP, Muratov EN, Rusyn I, Tropsha A, Schmitt C.   +7 more
europepmc   +1 more source

Beyond Equal: From Same but Different to the Doctrine of Substantial Equivalence [PDF]

, 2008
A same-but-different dichotomy has recently been encapsulated within the ill-defined concept of “substantial equivalence”. By invoking this concept the genetically modified organism (GMO) industry has escaped the rigors of safety testing that might ...
Paull, John
core  

Mechanistic read-across comes of age: a comparative appraisal of EFSA 2025 guidance, ECHA’s RAAF, and good read-across practice

Frontiers in Toxicology
Read-across has matured from an expert-driven extrapolation based largely on structural analogy into a rigorously documented, mechanistically informed cornerstone of next-generation risk assessment.
Thomas Hartung, Thomas Hartung, Thomas Hartung, Thomas Hartung, Costanza Rovida, Costanza Rovida   +5 more
doaj   +1 more source