Below are the most recent publications written about "Machine Learning" by people in Profiles.
-
Chechekina OG, Tropina EV, Fatkhutdinova LI, Zyuzin MV, Bogdanov AA, Ju Y, Boldyrev KN. Machine learning assisted rapid approach for quantitative prediction of biochemical parameters of blood serum with FTIR spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc. 2025 Feb 05; 326:125283.
-
Liu S, Park T, Kr?ger DM, Pena-Centeno T, Burkhardt S, Schutz AL, Huang YN, Rosewood T, Chaudhuri S, Cho M, Risacher SL, Wan Y, Shaw LM, Sananbenesi F, Brodsky AS, Lin H, Krunic A, Blusztajn JK, Saykin AJ, Delalle I, Fischer A, Nho K. Plasma miRNAs across the Alzheimer's disease continuum: Relationship to central biomarkers. Alzheimers Dement. 2024 Nov; 20(11):7698-7714.
-
Anand SK, Staron A, Mendelson LM, Joshi T, Burke N, Sanchorawala V, Verma A. Machine-learning based subgroups of AL amyloidosis and cumulative incidence of mortality and end stage kidney disease. Am J Hematol. 2024 Nov; 99(11):2140-2151.
-
Ding H, Lister A, Karjadi C, Au R, Lin H, Bischoff B, Hwang PH. Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study. JMIR Aging. 2024 Aug 22; 7:e55126.
-
Essibayi MA, Jabal MS, Musmar B, Adeeb N, Salim H, Aslan A, Cancelliere NM, McLellan RM, Algin O, Ghozy S, Lay SV, Guenego A, Renieri L, Carnevale J, Saliou G, Mastorakos P, Naamani KE, Shotar E, Premat K, M?hlenbruch M, Kral M, Doron O, Chung C, Salem MM, Lylyk I, Foreman PM, Vachhani JA, Shaikh H, ?upancic V, Hafeez MU, Catapano J, Waqas M, Yavuz K, Gunes YC, Rabinov JD, Ren Y, Schirmer CM, Piano M, K?hn AL, Michelozzi C, Starke RM, Hassan A, Ogilvie M, Nguyen A, Jones J, Brinjikji W, Nawka MT, Psychogios M, Ulfert C, Diestro JDB, Pukenas B, Burkhardt JK, Huynh T, Gutierrez JCM, Sheth SA, Spiegel G, Tawk R, Lubicz B, Panni P, Puri AS, Pero G, Nossek E, Raz E, Killer-Oberfalzer M, Griessenauer CJ, Asadi H, Siddiqui A, Brook AL, Haranhalli N, Ducruet AF, Albuquerque FC, Regenhardt RW, Stapleton CJ, Kan P, Kalousek V, Lylyk P, Boddu S, Knopman J, Aziz-Sultan MA, Tjoumakaris SI, Claren?on F, Limbucci N, Cuellar-Saenz HH, Jabbour PM, Pereira VM, Patel AB, Altschul D, Dmytriw AA. Off-Label use of Woven EndoBridge device for intracranial brain aneurysm treatment: Modeling of occlusion outcome. J Stroke Cerebrovasc Dis. 2024 Nov; 33(11):107897.
-
Duggan NM, Jin M, Duran Mendicuti MA, Hallisey S, Bernier D, Selame LA, Asgari-Targhi A, Fischetti CE, Lucassen R, Samir AE, Duhaime E, Kapur T, Goldsmith AJ. Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Data Set Labeling: Prospective Analysis. J Med Internet Res. 2024 Jul 04; 26:e51397.
-
Horwitz A, McCarthy K, House SL, Beaudoin FL, An X, Neylan TC, Clifford GD, Linnstaedt SD, Germine LT, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, Hudak LA, Pascual JL, Seamon MJ, Harris E, Pearson C, Peak DA, Domeier RM, Rathlev NK, Sergot P, Sanchez LD, Bruce SE, Joormann J, Harte SE, Koenen KC, McLean SA, Sen S. Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning. J Anxiety Disord. 2024 Jun; 104:102876.
-
Deike K, Decker A, Scheyhing P, Harten J, Zimmermann N, Paech D, Peters O, Freiesleben SD, Schneider LS, Preis L, Priller J, Spruth E, Altenstein S, Lohse A, Fliessbach K, Kimmich O, Wiltfang J, Bartels C, Hansen N, Jessen F, Rostamzadeh A, D?zel E, Glanz W, Incesoy EI, Butryn M, Buerger K, Janowitz D, Ewers M, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Goerss D, Laske C, Munk MH, Spottke A, Roy N, Wagner M, Roeske S, Heneka MT, Brosseron F, Ramirez A, Dobisch L, Wolfsgruber S, Kleineidam L, Yakupov R, Stark M, Schmid MC, Berger M, Hetzer S, Dechent P, Scheffler K, Petzold GC, Schneider A, Effland A, Radbruch A. Machine Learning-Based Perivascular Space Volumetry in Alzheimer Disease. Invest Radiol. 2024 Sep 01; 59(9):667-676.
-
Andriola C, Ellis RP, Siracuse JJ, Hoagland A, Kuo TC, Hsu HE, Walkey A, Lasser KE, Ash AS. A Novel Machine Learning Algorithm for Creating Risk-Adjusted Payment Formulas. JAMA Health Forum. 2024 Apr 05; 5(4):e240625.
-
Wirthlin ME, Schmid TA, Elie JE, Zhang X, Kowalczyk A, Redlich R, Shvareva VA, Rakuljic A, Ji MB, Bhat NS, Kaplow IM, Sch?ffer DE, Lawler AJ, Wang AZ, Phan BN, Annaldasula S, Brown AR, Lu T, Lim BK, Azim E, Clark NL, Meyer WK, Pond SLK, Chikina M, Yartsev MM, Pfenning AR, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntan? G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Sch?ffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundstr?m E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X. Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements. Science. 2024 Mar 29; 383(6690):eabn3263.