{"id":"https://openalex.org/W4416985306","doi":"https://doi.org/10.17973/mmsj.2025_12_2025078","title":"ARTIFICIAL INTELLIGENCE TO EVALUATE DRUG DEVELOPMENT PROCESSES","display_name":"ARTIFICIAL INTELLIGENCE TO EVALUATE DRUG DEVELOPMENT PROCESSES","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4416985306","doi":"https://doi.org/10.17973/mmsj.2025_12_2025078"},"language":"en","primary_location":{"id":"doi:10.17973/mmsj.2025_12_2025078","doi":"https://doi.org/10.17973/mmsj.2025_12_2025078","is_oa":true,"landing_page_url":"https://doi.org/10.17973/mmsj.2025_12_2025078","pdf_url":null,"source":{"id":"https://openalex.org/S2764424395","display_name":"MM Science Journal","issn_l":"1803-1269","issn":["1803-1269","1805-0476","1805-0646"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","poland-40","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MM Science Journal","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.17973/mmsj.2025_12_2025078","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063734564","display_name":"Tibor Krenick\u00fd","orcid":"https://orcid.org/0000-0002-0242-2704","observed_orcids":["https://orcid.org/0000-0002-0242-2704"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"TIBOR KRENICKY","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032087828","display_name":"I. Yu. Vysotsky","orcid":"https://orcid.org/0000-0002-6357-3362","observed_orcids":["https://orcid.org/0000-0002-6357-3362"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"IHOR VYSOTSKY","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120684027","display_name":"KOSTIANTYN DYADYURA","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"KOSTIANTYN DYADYURA","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078053254","display_name":"Irina Dyadyura","orcid":"https://orcid.org/0000-0002-5529-6406","observed_orcids":["https://orcid.org/0000-0002-5529-6406"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"IRINA DYADYURA","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.18330000340938568,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.18330000340938568,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.12200000137090683,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.0828000009059906,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.9449999928474426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.968999981880188},{"id":"https://openalex.org/keywords/drug-development","display_name":"drug development","score":0.9399999976158142},{"id":"https://openalex.org/keywords/process-evaluation","display_name":"process evaluation","score":0.6069999933242798},{"id":"https://openalex.org/keywords/pharmaceutical-manufacturing","display_name":"pharmaceutical manufacturing","score":0.5770000219345093},{"id":"https://openalex.org/keywords/process-analytical-technology","display_name":"process analytical technology","score":0.43700000643730164},{"id":"https://openalex.org/keywords/quality-by-design","display_name":"quality by design","score":0.4690000116825104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266000270843506},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6197999715805054},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.47040000557899475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462999999523163},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3763999938964844},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C180152950","wikidata":"https://www.wikidata.org/wiki/Q2904257","display_name":"Software development process","level":4,"score":0.35339999198913574},{"id":"https://openalex.org/C64903051","wikidata":"https://www.wikidata.org/wiki/Q2198549","display_name":"Drug development","level":3,"score":0.3314000070095062},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3203999996185303},{"id":"https://openalex.org/C2988729646","wikidata":"https://www.wikidata.org/wiki/Q838129","display_name":"Process development","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C2987875673","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing process","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17973/mmsj.2025_12_2025078","doi":"https://doi.org/10.17973/mmsj.2025_12_2025078","is_oa":true,"landing_page_url":"https://doi.org/10.17973/mmsj.2025_12_2025078","pdf_url":null,"source":{"id":"https://openalex.org/S2764424395","display_name":"MM Science Journal","issn_l":"1803-1269","issn":["1803-1269","1805-0476","1805-0646"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","poland-40","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MM Science Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17973/mmsj.2025_12_2025078","doi":"https://doi.org/10.17973/mmsj.2025_12_2025078","is_oa":true,"landing_page_url":"https://doi.org/10.17973/mmsj.2025_12_2025078","pdf_url":null,"source":{"id":"https://openalex.org/S2764424395","display_name":"MM Science Journal","issn_l":"1803-1269","issn":["1803-1269","1805-0476","1805-0646"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","poland-40","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MM Science Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4043000042438507}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7170971147","https://openalex.org/W4400406990","https://openalex.org/W2978248631","https://openalex.org/W3183046872","https://openalex.org/W7220704410","https://openalex.org/W7115592285","https://openalex.org/W7115702688","https://openalex.org/W4411010687","https://openalex.org/W4393323384","https://openalex.org/W7160841202"],"abstract_inverted_index":{"Information":[0],"technology":[1],"is":[2,51],"changing":[3],"the":[4,44,52,63,66,70,92,104,113],"way":[5],"medicines":[6],"are":[7,19,141],"developed":[8],"and":[9,16,28,36,58,88,121,127],"used.":[10],"Developers,":[11],"manufacturers,":[12],"regulators,":[13],"academic":[14],"groups":[15],"other":[17],"stakeholders":[18],"working":[20],"to":[21,76],"develop":[22],"a":[23,84,125],"common":[24],"understanding":[25],"of":[26,65,69,94,107,115],"where":[27],"how":[29],"specific":[30],"innovations,":[31],"such":[32],"as":[33],"artificial":[34,108],"intelligence":[35,109],"machine":[37],"learning,":[38],"can":[39],"best":[40],"be":[41,81],"used":[42],"in":[43],"drug":[45,71],"development":[46],"process.":[47,73],"The":[48,74,101,119],"assessment":[49,86],"procedure":[50,87],"main":[53],"tool":[54],"for":[55,111,130],"planning":[56],"processes":[57,114],"managing":[59],"software":[60],"tools":[61],"at":[62],"stages":[64],"life":[67],"cycle":[68],"manufacturing":[72],"approach":[75],"assessing":[77,112,131],"process":[78,132,138],"properties":[79],"should":[80],"defined":[82],"by":[83],"documented":[85],"may":[89],"depend":[90],"on":[91,136],"class":[93],"assessment,":[95],"taking":[96],"into":[97],"account":[98],"its":[99],"objectives.":[100],"article":[102],"discusses":[103],"key":[105],"role":[106],"models":[110],"creating":[116],"medicinal":[117],"products.":[118],"principles":[120],"approaches":[122],"that":[123],"provide":[124],"meaningful":[126],"consistent":[128],"basis":[129],"quality":[133],"characteristics":[134],"based":[135],"objective":[137],"implementation":[139],"data":[140],"discussed.":[142]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2025-12-04T00:00:00"}