{"id":"https://openalex.org/W2783679969","doi":"https://doi.org/10.1055/s-0043-124761","title":"Developing Deep Learning Applications for Life Science and Pharma Industry","display_name":"Developing Deep Learning Applications for Life Science and Pharma Industry","publication_year":2018,"publication_date":"2018-01-16","ids":{"openalex":"https://openalex.org/W2783679969","doi":"https://doi.org/10.1055/s-0043-124761","mag":"2783679969","pmid":"https://pubmed.ncbi.nlm.nih.gov/29341027"},"language":"en","primary_location":{"id":"doi:10.1055/s-0043-124761","doi":"https://doi.org/10.1055/s-0043-124761","is_oa":true,"landing_page_url":"https://doi.org/10.1055/s-0043-124761","pdf_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0043-124761.pdf","source":{"id":"https://openalex.org/S4210226141","display_name":"Drug Research","issn_l":"2194-9379","issn":["2194-9379","2194-9387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","medline","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320000","host_organization_name":"Thieme Medical Publishers (Germany)","host_organization_lineage":["https://openalex.org/P4310320000"],"host_organization_lineage_names":["Thieme Medical Publishers (Germany)"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Drug Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0043-124761.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067546198","display_name":"Daniel Siegismund","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799341698","display_name":"Genedata (Switzerland)","ror":"https://ror.org/01yzrt577","country_code":"CH","type":"company","lineage":["https://openalex.org/I2799341698"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Siegismund","raw_affiliation_strings":["Genedata AG, Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Genedata AG, Basel, Switzerland","institution_ids":["https://openalex.org/I2799341698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018068514","display_name":"Vasily Tolkachev","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasily Tolkachev","raw_affiliation_strings":["Institute of Data Analysis and Process Design, Winterthur, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Analysis and Process Design, Winterthur, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042439253","display_name":"Stephan Heyse","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799341698","display_name":"Genedata (Switzerland)","ror":"https://ror.org/01yzrt577","country_code":"CH","type":"company","lineage":["https://openalex.org/I2799341698"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Stephan Heyse","raw_affiliation_strings":["Genedata AG, Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Genedata AG, Basel, Switzerland","institution_ids":["https://openalex.org/I2799341698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053625034","display_name":"Beate Sick","orcid":"https://orcid.org/0000-0002-7264-1515","observed_orcids":["https://orcid.org/0000-0002-7264-1515"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beate Sick","raw_affiliation_strings":["Institute of Data Analysis and Process Design, Winterthur, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Analysis and Process Design, Winterthur, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014298501","display_name":"Oliver Duerr","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oliver Duerr","raw_affiliation_strings":["Institute of Data Analysis and Process Design, Winterthur, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Analysis and Process Design, Winterthur, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050338248","display_name":"Stephan Steigele","orcid":"https://orcid.org/0000-0001-9209-5542","observed_orcids":["https://orcid.org/0000-0001-9209-5542"]},"institutions":[{"id":"https://openalex.org/I2799341698","display_name":"Genedata (Switzerland)","ror":"https://ror.org/01yzrt577","country_code":"CH","type":"company","lineage":["https://openalex.org/I2799341698"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Stephan Steigele","raw_affiliation_strings":["Genedata AG, Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Genedata AG, Basel, Switzerland","institution_ids":["https://openalex.org/I2799341698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050338248"],"corresponding_institution_ids":["https://openalex.org/I2799341698"],"apc_list":null,"apc_paid":null,"fwci":0.5075,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.57995868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"68","issue":"06","first_page":"305","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.4440999925136566,"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":0.4440999925136566,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.3019999861717224,"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"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.11299999803304672,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.8009999990463257},{"id":"https://openalex.org/keywords/pharmaceutical-research","display_name":"pharmaceutical research","score":0.8009999990463257},{"id":"https://openalex.org/keywords/deep-learning-framework","display_name":"deep learning framework","score":0.8460000157356262},{"id":"https://openalex.org/keywords/high-content-screening","display_name":"high-content screening","score":0.6919999718666077},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"digital pathology","score":0.9980000257492065},{"id":"https://openalex.org/keywords/image-analysis","display_name":"image analysis","score":0.7210000157356262},{"id":"https://openalex.org/keywords/big-data","display_name":"big data","score":0.7310000061988831},{"id":"https://openalex.org/keywords/framework-selection","display_name":"framework selection","score":0.6759999990463257},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"drug discovery","score":0.546999990940094}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8327516317367554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7268315553665161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272314786911011},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6092812418937683},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5982314944267273},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5354717969894409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4330516755580902},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13289308547973633},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09614616632461548},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001690","descriptor_name":"Biological Science Disciplines","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004345","descriptor_name":"Drug Industry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1055/s-0043-124761","doi":"https://doi.org/10.1055/s-0043-124761","is_oa":true,"landing_page_url":"https://doi.org/10.1055/s-0043-124761","pdf_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0043-124761.pdf","source":{"id":"https://openalex.org/S4210226141","display_name":"Drug Research","issn_l":"2194-9379","issn":["2194-9379","2194-9387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","medline","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320000","host_organization_name":"Thieme Medical Publishers (Germany)","host_organization_lineage":["https://openalex.org/P4310320000"],"host_organization_lineage_names":["Thieme Medical Publishers (Germany)"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Drug Research","raw_type":"journal-article"},{"id":"pmid:29341027","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29341027","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Drug research","raw_type":"Journal Article"},{"id":"pmh:oai:elib.uni-konstanz.de-htwg:2289","doi":null,"is_oa":false,"landing_page_url":"https://opus.htwg-konstanz.de/frontdoor/index/index/docId/2289","pdf_url":null,"source":{"id":"https://openalex.org/S4306400170","display_name":"URN-Resolver at the German National Library (German National Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2802635041","host_organization_name":"Technische Informationsbibliothek (TIB)","host_organization_lineage":["https://openalex.org/I2802635041"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1055/s-0043-124761","doi":"https://doi.org/10.1055/s-0043-124761","is_oa":true,"landing_page_url":"https://doi.org/10.1055/s-0043-124761","pdf_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0043-124761.pdf","source":{"id":"https://openalex.org/S4210226141","display_name":"Drug Research","issn_l":"2194-9379","issn":["2194-9379","2194-9387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","medline","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320000","host_organization_name":"Thieme Medical Publishers (Germany)","host_organization_lineage":["https://openalex.org/P4310320000"],"host_organization_lineage_names":["Thieme Medical Publishers (Germany)"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Drug Research","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320998","display_name":"Kommission f\u00fcr Technologie und Innovation","ror":"https://ror.org/012y9zp98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2783679969.pdf","grobid_xml":"https://content.openalex.org/works/W2783679969.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1019830208","https://openalex.org/W1165382972","https://openalex.org/W1536929369","https://openalex.org/W1538131130","https://openalex.org/W1596947964","https://openalex.org/W1901129140","https://openalex.org/W2014504716","https://openalex.org/W2059857303","https://openalex.org/W2106051978","https://openalex.org/W2108069432","https://openalex.org/W2131975293","https://openalex.org/W2154642048","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2186615578","https://openalex.org/W2189911347","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2264017649","https://openalex.org/W2269649163","https://openalex.org/W2271840356","https://openalex.org/W2288892845","https://openalex.org/W2332506150","https://openalex.org/W2337926734","https://openalex.org/W2384495648","https://openalex.org/W2397757171","https://openalex.org/W2442496213","https://openalex.org/W2502949459","https://openalex.org/W2519019522","https://openalex.org/W2526925775","https://openalex.org/W2540540415","https://openalex.org/W2606722458","https://openalex.org/W2685808923","https://openalex.org/W2766736793","https://openalex.org/W2777646139","https://openalex.org/W2919115771","https://openalex.org/W2949650786","https://openalex.org/W2952935243","https://openalex.org/W2953212265","https://openalex.org/W4297827580"],"related_works":["https://openalex.org/W4309013036","https://openalex.org/W4383816217","https://openalex.org/W4288027837","https://openalex.org/W7128624809","https://openalex.org/W4412804007","https://openalex.org/W4308206504","https://openalex.org/W4406268958","https://openalex.org/W4391310372","https://openalex.org/W2790808809","https://openalex.org/W4387590197"],"abstract_inverted_index":{"Deep":[0,67,112],"Learning":[1],"has":[2],"boosted":[3],"artificial":[4,129],"intelligence":[5,130],"over":[6],"the":[7,18,36,91,139,226],"past":[8],"5":[9],"years":[10,136],"and":[11,52,161,177,184,204,221,233],"is":[12,40,69,90],"seen":[13],"now":[14],"as":[15,153,155],"one":[16],"of":[17,27,32,58,94,124,128,142,193],"major":[19],"technological":[20],"innovation":[21],"areas,":[22],"predicted":[23],"to":[24,43,83,115],"replace":[25],"lots":[26],"repetitive,":[28],"but":[29],"complex":[30,61],"tasks":[31],"human":[33],"labor":[34],"within":[35],"next":[37],"decade.":[38],"It":[39],"also":[41],"expected":[42],"be":[44],"'game":[45],"changing'":[46],"for":[47,187,196,224,230],"research":[48],"activities":[49],"in":[50,76,101,106,119,134,146,164,201,212],"pharma":[51,147,205],"life":[53,202],"sciences,":[54],"where":[55],"large":[56],"sets":[57],"similar":[59],"yet":[60],"data":[62,143],"samples":[63],"are":[64,97,169],"systematically":[65],"analyzed.":[66],"learning":[68,113,158,189,216],"currently":[70],"conquering":[71],"formerly":[72],"expert":[73],"domains":[74,123],"especially":[75],"areas":[77],"requiring":[78],"perception,":[79],"previously":[80],"not":[81],"amenable":[82],"standard":[84],"machine":[85],"learning.":[86],"A":[87],"typical":[88,182],"example":[89],"automated":[92],"analysis":[93],"images":[95],"which":[96],"typically":[98],"produced":[99],"en-masse":[100],"many":[102],"domains,":[103],"e.":[104],"g.,":[105],"high-content":[107],"screening":[108],"or":[109],"digital":[110],"pathology.":[111],"enables":[114],"create":[116],"competitive":[117],"applications":[118,168,183,217],"so-far":[120],"defined":[121],"core":[122],"'human":[125],"intelligence'.":[126],"Applications":[127],"have":[131],"been":[132],"enabled":[133],"recent":[135],"by":[137],"(i)":[138],"massive":[140],"availability":[141],"samples,":[144],"collected":[145],"driven":[148],"drug":[149],"programs":[150],"(='big":[151],"data')":[152],"well":[154],"(ii)":[156],"deep":[157,188,215],"algorithmic":[159],"advancements":[160],"(iii)":[162],"increase":[163],"compute":[165],"power.":[166],"Such":[167],"based":[170],"on":[171,208],"software":[172],"frameworks":[173,186,229],"with":[174,190],"specific":[175],"strengths":[176],"weaknesses.":[178],"Here,":[179],"we":[180,218],"introduce":[181],"underlying":[185],"a":[191,222,231],"set":[192],"practical":[194],"criteria":[195],"developing":[197,214],"production":[198],"ready":[199],"solutions":[200],"science":[203],"research.":[206],"Based":[207],"our":[209],"own":[210],"experience":[211],"successfully":[213],"provide":[219],"suggestions":[220],"baseline":[223],"selecting":[225],"most":[227],"suited":[228],"future-proof":[232],"cost-effective":[234],"development.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-01-26T00:00:00"}
