Gastrointestinal endoscopy

3942570720241025

1097-67792024Oct18Gastrointestinal endoscopyGastrointest EndoscQuality measures in the delivery of equitable endoscopic care to traditionally underserved patients in the United States.S0016-5107(24)03325-X10.1016/j.gie.2024.06.030ASGE Quality Assurance in Endoscopy CommitteeWilliamsKathy NKNDivision of Gastroenterology, Cooper University Hospital, Camden, New Jersey, USA.MayFolasade PFPVatche and Tamar Manoukian Division of Digestive Diseases, University of California Los Angeles, Los Angeles, California, USA.CummingsLinda CLCDivision of Gastroenterology and Liver Disease, University Hospitals Cleveland, Cleveland, Ohio, USA.SrivastavaNeetikaNDivision of Gastroenterology and Hepatology, Harbor-UCLA Medical Center, Los Angeles, California, USA.ShahidiNealNDivision of Gastroenterology, University of British Columbia, Vancouver, British Columbia, Canada.KohansalAliADivision of Digestive Care and Endoscopy, Dalhousie University, Halifax, Nova Scotia, Canada.PanganamamulaKashyapKDivision of Gastroenterology and Hepatology, Penn Medicine, Philadelphia, Pennsylvania, USA.GargRajatRDepartment of Gastroenterology, The Cleveland Clinic Foundation, Cleveland, Ohio, USA.SinghAmandeepADepartment of Gastroenterology, The Cleveland Clinic Foundation, Cleveland, Ohio, USA.GreenBryanBDigestive Disease Group, PA, Greenville, South Carolina, USA.NguyenJennie CJCDigestive Diseases Center, MUSC Health, Charleston, South Carolina, USA.EssexEden AEAAmerican Society for Gastrointestinal Endoscopy, Downers Grove, Illinois, USA.CarethersJohn MJMDivision of Gastroenterology and Hepatology, Moores Cancer Center, and Wetheim School of Public Health, University of California San Diego, San Diego, California, USA.ElmunzerB JosephBJDivision of Gastroenterology and Hepatology, Medical University of South Carolina, Charleston, South Carolina, USA.engJournal ArticlePractice Guideline20241018

United StatesGastrointest Endosc00105050016-5107IMDisclosure All authors disclosed no financial relationships.20246192024621202410191417202410191417202410191028aheadofprint3942570710.1016/j.gie.2024.06.030S0016-5107(24)03325-X3894685320240702

1948-51901662024Jun16World journal of gastrointestinal endoscopyWorld J Gastrointest EndoscLong-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy.335342335-34210.4253/wjge.v16.i6.335Improved adenoma detection rate (ADR) has been demonstrated with artificial intelligence (AI)-assisted colonoscopy. However, data on the real-world application of AI and its effect on colorectal cancer (CRC) screening outcomes is limited.To analyze the long-term impact of AI on a diverse at-risk patient population undergoing diagnostic colonoscopy for positive CRC screening tests or symptoms.AI software (GI Genius, Medtronic) was implemented into the standard procedure protocol in November 2022. Data was collected on patient demographics, procedure indication, polyp size, location, and pathology. CRC screening outcomes were evaluated before and at different intervals after AI introduction with one year of follow-up.We evaluated 1008 colonoscopies (278 pre-AI, 255 early post-AI, 285 established post-AI, and 190 late post-AI). The ADR was 38.1% pre-AI, 42.0% early post-AI (P = 0.77), 40.0% established post-AI (P = 0.44), and 39.5% late post-AI (P = 0.77). There were no significant differences in polyp detection rate (PDR, baseline 59.7%), advanced ADR (baseline 16.2%), and non-neoplastic PDR (baseline 30.0%) before and after AI introduction.In patients with an increased pre-test probability of having an abnormal colonoscopy, the current generation of AI did not yield enhanced CRC screening metrics over high-quality colonoscopy. Although the potential of AI in colonoscopy is undisputed, current AI technology may not universally elevate screening metrics across all situations and patient populations. Future studies that analyze different AI systems across various patient populations are needed to determine the most effective role of AI in optimizing CRC screening in clinical practice.©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.ChowKenneth WKWDepartment of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90502, United States. kwchow555@gmail.com.BellMatthew TMTDepartment of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90502, United States.CumpianNicholasNDepartment of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90502, United States.AmourMaryanneMDepartment of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90502, United States.HsuRyan HRHDepartment of Bioengineering, Jacobs School of Engineering, University of California, San Diego, La Jolla, CA 92093, United States.EysseleinViktor EVEDepartment of Gastroenterology, Harbor-UCLA Medical Center, Torrance, CA 90502, United States.SrivastavaNeetikaNDepartment of Gastroenterology, Harbor-UCLA Medical Center, Torrance, CA 90502, United States.FleischmanMichael WMWDepartment of Gastroenterology, Harbor-UCLA Medical Center, Torrance, CA 90502, United States.ReicherSofiyaSDepartment of Gastroenterology, Harbor-UCLA Medical Center, Torrance, CA 90502, United States.engJournal Article

United StatesWorld J Gastrointest Endosc101532474Adenoma detection rateArtificial intelligenceColonoscopyColorectal adenomaScreeningConflict-of-interest statement: Sofiya Reicher has served as a consultant for Boston Scientific. The rest of the authors have no conflicts of interest to disclose.2024228202441620244282024716432024716422024715362024616ppublish38946853PMC1121251410.4253/wjge.v16.i6.335Zhang J, Chen G, Li Z, Zhang P, Li X, Gan D, Cao X, Du H, Zhang J, Zhang L, Ye Y. Colonoscopic screening is associated with reduced Colorectal Cancer incidence and mortality: a systematic review and meta-analysis. J Cancer. 2020;11:5953–5970.PMC747740832922537Ahn SB, Han DS, Bae JH, Byun TJ, Kim JP, Eun CS. The Miss Rate for Colorectal Adenoma Determined by Quality-Adjusted, Back-to-Back Colonoscopies. Gut Liver. 2012;6:64–70.PMC328674122375173Schottinger JE, Jensen CD, Ghai NR, Chubak J, Lee JK, Kamineni A, Halm EA, Sugg-Skinner C, Udaltsova N, Zhao WK, Ziebell RA, Contreras R, Kim EJ, Fireman BH, Quesenberry CP, Corley DA. Association of Physician Adenoma Detection Rates With Postcolonoscopy Colorectal Cancer. JAMA. 2022;327:2114–2122.PMC917507435670788Kaminski MF, Wieszczy P, Rupinski M, Wojciechowska U, Didkowska J, Kraszewska E, Kobiela J, Franczyk R, Rupinska M, Kocot B, Chaber-Ciopinska A, Pachlewski J, Polkowski M, Regula J. Increased Rate of Adenoma Detection Associates With Reduced Risk of Colorectal Cancer and Death. Gastroenterology. 2017;153:98–105.28428142Xu H, Tang RSY, Lam TYT, Zhao G, Lau JYW, Liu Y, Wu Q, Rong L, Xu W, Li X, Wong SH, Cai S, Wang J, Liu G, Ma T, Liang X, Mak JWY, Xu H, Yuan P, Cao T, Li F, Ye Z, Shutian Z, Sung JJY. Artificial Intelligence-Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial. Clin Gastroenterol Hepatol. 2023;21:337–346.35863686Hassan C, Spadaccini M, Iannone A, Maselli R, Jovani M, Chandrasekar VT, Antonelli G, Yu H, Areia M, Dinis-Ribeiro M, Bhandari P, Sharma P, Rex DK, Rösch T, Wallace M, Repici A. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc. 2021;93:77–85.32598963Chan HP, Hadjiiski LM, Samala RK. Computer-aided diagnosis in the era of deep learning. Med Phys. 2020;47:e218–e227.PMC729316432418340Gupta S, Lieberman D, Anderson JC, Burke CA, Dominitz JA, Kaltenbach T, Robertson DJ, Shaukat A, Syngal S, Rex DK. Recommendations for Follow-Up After Colonoscopy and Polypectomy: A Consensus Update by the US Multi-Society Task Force on Colorectal Cancer. Gastrointest Endosc. 2020;91:463–485.PMC738964232044106Repici A, Badalamenti M, Maselli R, Correale L, Radaelli F, Rondonotti E, Ferrara E, Spadaccini M, Alkandari A, Fugazza A, Anderloni A, Galtieri PA, Pellegatta G, Carrara S, Di Leo M, Craviotto V, Lamonaca L, Lorenzetti R, Andrealli A, Antonelli G, Wallace M, Sharma P, Rosch T, Hassan C. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology. 2020;159:512–520.32371116Repici A, Spadaccini M, Antonelli G, Correale L, Maselli R, Galtieri PA, Pellegatta G, Capogreco A, Milluzzo SM, Lollo G, Di Paolo D, Badalamenti M, Ferrara E, Fugazza A, Carrara S, Anderloni A, Rondonotti E, Amato A, De Gottardi A, Spada C, Radaelli F, Savevski V, Wallace MB, Sharma P, Rösch T, Hassan C. Artificial intelligence and colonoscopy experience: lessons from two randomised trials. Gut. 2022;71:757–765.34187845Ladabaum U, Shepard J, Weng Y, Desai M, Singer SJ, Mannalithara A. Computer-aided Detection of Polyps Does Not Improve Colonoscopist Performance in a Pragmatic Implementation Trial. Gastroenterology. 2023;164:481–483.36528131Levy I, Bruckmayer L, Klang E, Ben-Horin S, Kopylov U. Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice. Am J Gastroenterol. 2022;117:1871–1873.36001408Cai C, Gaffney A, McGregor A, Woolhandler S, Himmelstein DU, McCormick D, Dickman SL. Racial and Ethnic Disparities in Outpatient Visit Rates Across 29 Specialties. JAMA Intern Med. 2021;181:1525–1527.PMC829033334279566Almario CV, May FP, Ponce NA, Spiegel BM. Racial and Ethnic Disparities in Colonoscopic Examination of Individuals With a Family History of Colorectal Cancer. Clin Gastroenterol Hepatol. 2015;13:1487–1495.PMC450998625737445Zavala VA, Bracci PM, Carethers JM, Carvajal-Carmona L, Coggins NB, Cruz-Correa MR, Davis M, de Smith AJ, Dutil J, Figueiredo JC, Fox R, Graves KD, Gomez SL, Llera A, Neuhausen SL, Newman L, Nguyen T, Palmer JR, Palmer NR, Pérez-Stable EJ, Piawah S, Rodriquez EJ, Sanabria-Salas MC, Schmit SL, Serrano-Gomez SJ, Stern MC, Weitzel J, Yang JJ, Zabaleta J, Ziv E, Fejerman L. Cancer health disparities in racial/ethnic minorities in the United States. Br J Cancer. 2021;124:315–332.PMC785251332901135Rex DK, Schoenfeld PS, Cohen J, Pike IM, Adler DG, Fennerty MB, Lieb JG 2nd, Park WG, Rizk MK, Sawhney MS, Shaheen NJ, Wani S, Weinberg DS. Quality indicators for colonoscopy. Am J Gastroenterol. 2015;110:72–90.25448873Gong D, Wu L, Zhang J, Mu G, Shen L, Liu J, Wang Z, Zhou W, An P, Huang X, Jiang X, Li Y, Wan X, Hu S, Chen Y, Hu X, Xu Y, Zhu X, Li S, Yao L, He X, Chen D, Huang L, Wei X, Wang X, Yu H. Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study. Lancet Gastroenterol Hepatol. 2020;5:352–361.31981518Su JR, Li Z, Shao XJ, Ji CR, Ji R, Zhou RC, Li GC, Liu GQ, He YS, Zuo XL, Li YQ. Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos) Gastrointest Endosc. 2020;91:415–424.31454493Wang P, Berzin TM, Glissen Brown JR, Bharadwaj S, Becq A, Xiao X, Liu P, Li L, Song Y, Zhang D, Li Y, Xu G, Tu M, Liu X. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 2019;68:1813–1819.PMC683972030814121Wang P, Liu X, Berzin TM, Glissen Brown JR, Liu P, Zhou C, Lei L, Li L, Guo Z, Lei S, Xiong F, Wang H, Song Y, Pan Y, Zhou G. Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study. Lancet Gastroenterol Hepatol. 2020;5:343–351.31981517Mangas-Sanjuan C, de-Castro L, Cubiella J, Díez-Redondo P, Suárez A, Pellisé M, Fernández N, Zarraquiños S, Núñez-Rodríguez H, Álvarez-García V, Ortiz O, Sala-Miquel N, Zapater P, Jover R CADILLAC study investigators. Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias : A Randomized Trial. Ann Intern Med. 2023;176:1145–1152.37639723Dilmaghani S, Coelho-prabhu N. Role of Artificial Intelligence in Colonoscopy: A Literature Review of the Past, Present, and Future Directions. TIGE. 2023;25:399–412.Hsieh YH, Tang CP, Tseng CW, Lin TL, Leung FW. Computer-Aided Detection False Positives in Colonoscopy. Diagnostics (Basel) 2021;11PMC823569634207226266595482016091220160121

1477-05391442016Jan28Organic & biomolecular chemistryOrg Biomol ChemIdentification of gallic acid based glycoconjugates as a novel tubulin polymerization inhibitors.133813581338-5810.1039/c5ob02113hA novel class of gallic acid based glycoconjugates were designed and synthesized as potential anticancer agents. Among all the compounds screened, compound 2a showed potent anticancer activity against breast cancer cells. The latter resulted in tubulin polymerization inhibition and induced G2/M cell cycle arrest, generation of reactive oxygen species, mitochondrial depolarization and subsequent apoptosis in breast cancer cells. In addition, ultraviolet-visible spectroscopy and fluorescence quenching studies of the compound with tubulin confirmed direct interaction of compounds with tubulin. Molecular modeling studies revealed that it binds at the colchicine binding site in tubulin. Further, 2a also exhibited potent in vivo anticancer activity in LA-7 syngeneic rat mammary tumor model. Current data projects its strong candidature to be developed as anticancer agent.UpadhyayaKapilKMedicinal and Process Chemistry Division, CSIR-Central Drug Research Institute (CSIR-CDRI), Sector 10, Jankipuram Extension, Sitapur Road, Lucknow 226031, India. rpt.cdri@gmail.com rp_tripathi@cdri.res.in.HamidullahSinghKartikeyKArunAshutoshAShuklaMahendraMSrivastavaNeetikaNAshrafRaghibRSharmaAbhisheakAMaharRohitRShuklaSanjeev KSKSarkarJayantaJRamachandranRavishankarRLalJawaharJKonwarRiturajRTripathiRama PatiRPengJournal ArticleResearch Support, Non-U.S. Gov't20151211

EnglandOrg Biomol Chem1011549951477-05200Antineoplastic Agents0Glycoconjugates0Reactive Oxygen Species0Tubulin0Tubulin Modulators632XD903SPGallic AcidIMAnimalsAntineoplastic Agentschemical synthesischemistrypharmacologyApoptosisdrug effectsCell Cycledrug effectsCell Proliferationdrug effectsDisease Models, AnimalDose-Response Relationship, DrugDrug Screening Assays, AntitumorFemaleGallic AcidchemistrypharmacologyGlycoconjugateschemical synthesischemistrypharmacologyHumansMammary Neoplasms, Experimentaldrug therapypathologyMicePolymerizationdrug effectsRatsReactive Oxygen SpeciesmetabolismStructure-Activity RelationshipTubulinmetabolismTubulin Modulatorschemical synthesischemistrypharmacologyTumor Cells, Cultured20151215602015121560201691360ppublish2665954810.1039/c5ob02113h177209112008043020181113

0016-673117722007OctGeneticsGeneticsGenomewide clonal analysis of lethal mutations in the Drosophila melanogaster eye: comparison of the X chromosome and autosomes.689697689-97Using a large consortium of undergraduate students in an organized program at the University of California, Los Angeles (UCLA), we have undertaken a functional genomic screen in the Drosophila eye. In addition to the educational value of discovery-based learning, this article presents the first comprehensive genomewide analysis of essential genes involved in eye development. The data reveal the surprising result that the X chromosome has almost twice the frequency of essential genes involved in eye development as that found on the autosomes.CallGerald BGBDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, California 90095, USA.OlsonJohn MJMChenJiongJVillarasaNikkiNNgoKathy TKTYabroffAllison MAMCokusShawnSPellegriniMatteoMBibikovaElenaEBuiChrisCCespedesAlbertAChanCherylCChanStacySCheemaAmrita KAKChhabraAkankshaAChitsazzadehVidaVDoMinh-TuMTFangQ AngelaQAFolickAndrewAGoodsteinGelsey LGLHuangCheng RCRHungTonyTKimEunhaEKimWilliamWKimYuleeYKohanEmilEKuoyEdwardEKwakRobertRLeeEricELeeJiEunJLinHenryHLiuH-C AngelaHCMorozTatianaTPrasadTharaniTPrashadSacha LSLPatanananAlexander NANRangelAlmaARosselliDesireeDSidhuSohrabSSitzDanielDTaberChelsea ECETanJingwenJToppKaseyKTranPhuongThaoPTranQuynh-MinhQMUnkovicMaryMWellsMaggieMWicklandJessicaJYackleKevinKYavariAmirAZaretskyJesse MJMAllenChristopher MCMAlliLatifatLAnJuJAnwarAbbasAArevaloSoniaSAyoubDannyDBadalShawn SSSBaghdanianArmondeABaghdanianArthur HAHBaumannSara ASABecerraVivian NVNChanHei JHJChangAileen EAEChengXibin AXAChinMabelMChongFleuretteFCrisostomoCarlynCDattaSanjitSDelosreyesAngelaADiepFrancieFEkanayakePreethikaPEngelnMarkMEversElizabethEFarshidiFarzinFFischerKatrinaKFormanesArlene JAJGongJunJGuptaRijuRHaasBlake EBEHahmVickyVHsiehMichaelMHuiJames ZJZIaoMei LMLJinSophia DSDKimAngela YAYKimLydia S-HLSKingMeganMKnudsen-RobbinsChloeCKohanchiDavidDKovshilovskayaBogdanaBKuAmyAKungRaymond WRWLandigMark E LMELattermanStephanie SSSLauwStephanie SSSLeeDaniel SDSLeeJoann SJSLeiKai CKCLeungLesley LLLLernerRenataRLinJian-yaJYLinKathleenKLimBryon CBCLuiCrystal P YCPLiuTiffany QTQLuongVincentVMakshanoffJacobJMeiAn-ChiACMezaMiguelMMikhaeilYara AYAMoarefiMajidMNguyenLong HLHPaiShekhar SSSPandyaManishMPatelAadit RARPicardPaul DPDSafaeeMichael MMMSalameCarolCSanchezChristianCSanchezNinaNSeifertChristina CCCShahAbhishekAShilgevorkyanOganes HOHSinghInderroopISomaVanessaVSongJunia JJJSrivastavaNeetikaNStaAnaJennifer LJLSunChristieCTanDianeDTeruyaAlison SASTikiaRobynRTranTrinhTTravisEmily GEGTrinhJennifer DJDVoDianeDWalshThomasTWongRegan SRSWuKatherineKWuYa-WheyYWYangNkau X VNXYeranosianMichaelMYuJames SJSZhouJennifer JJJZhuRan XRXAbramsAnnaAAbramsonAmandaAAmadoLatiffeLAndersonJennyJBashourKeenanKBeyerElsaEBookatzAllenABrewerSarahSBuuNatalieNCalvilloStephanieSCaoJosephJChanAmyAChanJennyJChangAileenAChangDanielDChangYuliYChenYiBingYChoiJooJChouJeylingJDangPeterPDattaSumitSDavarifarArdyADeravanesianArtemisADesaiPoonamPFabrikantJordanJFarnadShahbazSFuKatherineKGarciaEddieEGarroneNickNGasparyanSrpouhiSGaydaPhyllisPGoSherryleneSGoffsteinChadCGonzalezCourtneyCGuirguisMariamMHassidRyanRHermogenoBrendaBHongJulieJHongAriaAHovestreydtLindsayLHuCharlesCHuffDevonDJamshidianFaridFJenJamesJKahenKatrinKKaoLindaLKelleyMelissaMKhoThomasTKimYeinYKimSarahSKirkpatrickBrianBLangenbacherAdamALaxamanaSantinoSLeeJanetJLeeChrisCLeeSo-YounSYLeeToHang STSLeeToniTLewisGemmaGLezcanoSheilaSLinPeterPLuuThanhTLuuJulieJMarrsWillWMarshErinEMarshallJamieJMinSarahSMinasianTanyaTMinyeHelenaHMisraAmitAMorimotoMilesMMoshfeghYasamanYMurrayJessicaJNguyenKhaKNguyenCynthiaCNodadoErnestoE2ndO'DonahueAmandaAOnughaNdidiNOrjiakorNnekaNPadhiarBhavinBPaulEricEPavel-DinuMaraMPavlenkoAlexAPazEdwinEPhaklidesSarahSPhamLephongLPoulosePreethiPPowellRussellRPusicAyaARamolaDiviDRegaliaKirstenKRibbensMeghannMRifaiBasselBSaakyanManyakMSaarikoskiPamelaPSeguraMiriamMShadpourFarnazFShemmassianAramASinghRamnikRSinghVivekVSkinnerEmilyESolominDanielDSonejiKoshaKSpiveyKristinKStagebergErikaEStavchanskiyMarinaMTekchandaniLeenaLThaiLeoLThiyanaratnamJayanthaJTongMaurineMToorAneetATovarSteveSTrangsrudKellyKTsangWah-YungWYUemuraMarcMVollmerEmilyEWeissEmilyEWoodDamienDWuJoyJWuSophiaSWuWinstonWXuQingQYamauchiYukiYYaroshWillWYeeLauraLYenGeorgeGBanerjeeUtpalUengJournal ArticleResearch Support, Non-U.S. Gov't20070824

United StatesGenetics03746360016-6731IMAnimalsClone CellsDrosophila melanogastergeneticsphysiologyEyegrowth & developmentGenes, EssentialGenes, InsectGenes, LethalgeneticsGenome, InsectMutationX Chromosome20078289020085190200782890200811ppublish17720911PMC203463510.1534/genetics.107.077735genetics.107.077735Bellen, H. J., R. W. Levis, G. Liao, Y. He, J. W. Carlson et al., 2004. The BDGP gene disruption project: single transposon insertions associated with 40% of Drosophila genes. Genetics 167: 761–781.PMC147090515238527Chen, J., G. B. Call, E. Beyer, C. Bui, A. Cespedes et al., 2005. Discovery-based science education: functional genomic dissection in Drosophila by undergraduate researchers. PLoS Biol. 3: e59.PMC54895315719063Grumbling, G., and V. Strelets, 2006. FlyBase: anatomical data, images and queries. Nucleic Acids Res. 34: D484–D488.PMC134743116381917Inlow, J. K., and L. L. Restifo, 2004. Molecular and comparative genetics of mental retardation. Genetics 166: 835–881.PMC147072315020472Lopatto, D., 2004. Survey of Undergraduate Research Experiences (SURE): first findings. Cell Biol. Educ. 3: 270–277.PMC53313115592600Thaker, H. M., and D. R. Kankel, 1992. Mosaic analysis gives an estimate of the extent of genomic involvement in the development of the visual system in Drosophila melanogaster. Genetics 131: 883–894.PMC12050991516819Thibault, S. T., M. A. Singer, W. Y. Miyazaki, B. Milash, N. A. Dompe et al., 2004. A complementary transposon tool kit for Drosophila melanogaster using P and piggyBac. Nat. Genet. 36: 283–287.14981521Xu, T., and G. M. Rubin, 1993. Analysis of genetic mosaics in developing and adult Drosophila tissues. Development 117: 1223–1237.8404527

Publications by authors named "Neetika Srivastava"

Quality measures in the delivery of equitable endoscopic care to traditionally underserved patients in the United States.

Long-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy.

Identification of gallic acid based glycoconjugates as a novel tubulin polymerization inhibitors.

Genomewide clonal analysis of lethal mutations in the Drosophila melanogaster eye: comparison of the X chromosome and autosomes.