000 01366 a2200337 4500
005 20250517221736.0
264 0 _c20181102
008 201811s 0 0 jpn d
022 _a1347-5231
024 7 _a10.1248/yakushi.17-00213-F
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aSato, Kaoru
245 0 0 _a[Challenges to Improve the Prediction Accuracy of the Non-clinical Tests for Human CNS Adverse Effects: Potentials of Artificial Intelligence and Human ESC/iPSC-derived Neurons].
_h[electronic resource]
260 _bYakugaku zasshi : Journal of the Pharmaceutical Society of Japan
_c2018
300 _a807 p.
_bdigital
500 _aPublication Type: Editorial
650 0 4 _aAnimal Testing Alternatives
650 0 4 _aArtificial Intelligence
650 0 4 _aCell Differentiation
650 0 4 _aCentral Nervous System Agents
_xadverse effects
650 0 4 _aDrug Discovery
650 0 4 _aDrug Evaluation, Preclinical
_xmethods
650 0 4 _aHuman Embryonic Stem Cells
650 0 4 _aHumans
650 0 4 _aInduced Pluripotent Stem Cells
_xcytology
650 0 4 _aNeuroimaging
_xmethods
650 0 4 _aNeurons
700 1 _aIkegaya, Yuji
773 0 _tYakugaku zasshi : Journal of the Pharmaceutical Society of Japan
_gvol. 138
_gno. 6
_gp. 807
856 4 0 _uhttps://doi.org/10.1248/yakushi.17-00213-F
_zAvailable from publisher's website
999 _c28491635
_d28491635