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Showing results for alan powering
Your search for Alan Pomering retrieved no results
Introduction to artificial intelligence in medicine.
Mintz Y, Brodie R. Mintz Y, et al. Minim Invasive Ther Allied Technol. 2019 Apr;28(2):73-81. doi: 10.1080/13645706.2019.1575882. Epub 2019 Feb 27. Minim Invasive Ther Allied Technol. 2019. PMID: 30810430 Review.
However, the possibility of machines being able to simulate human behavior and actually think was raised earlier by Alan Turing who developed the Turing test in order to differentiate humans from machines. Since then, computational power has grown to the point of in …
However, the possibility of machines being able to simulate human behavior and actually think was raised earlier by Alan Turing who d …
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, Ghassemi M, Liu X, Reitsma JB, van Smeden M, Boulesteix AL, Camaradou JC, Celi LA, Denaxas S, Denniston AK, Glocker B, Golub RM, Harvey H, Heinze G, Hoffman MM, Kengne AP, Lam E, Lee N, Loder EW, Maier-Hein L, Mateen BA, McCradden MD, Oakden-Rayner L, Ordish J, Parnell R, Rose S, Singh K, Wynants L, Logullo P. Collins GS, et al. BMJ. 2024 Apr 16;385:e078378. doi: 10.1136/bmj-2023-078378. BMJ. 2024. PMID: 38626948 Free PMC article.
Methodological advances in the field of prediction have since included the widespread use of artificial intelligence (AI) powered by machine learning methods to develop prediction models. An update to the TRIPOD statement is thus needed. ...
Methodological advances in the field of prediction have since included the widespread use of artificial intelligence (AI) powered by …
The Polygenic and Monogenic Basis of Blood Traits and Diseases.
Vuckovic D, Bao EL, Akbari P, Lareau CA, Mousas A, Jiang T, Chen MH, Raffield LM, Tardaguila M, Huffman JE, Ritchie SC, Megy K, Ponstingl H, Penkett CJ, Albers PK, Wigdor EM, Sakaue S, Moscati A, Manansala R, Lo KS, Qian H, Akiyama M, Bartz TM, Ben-Shlomo Y, Beswick A, Bork-Jensen J, Bottinger EP, Brody JA, van Rooij FJA, Chitrala KN, Wilson PWF, Choquet H, Danesh J, Di Angelantonio E, Dimou N, Ding J, Elliott P, Esko T, Evans MK, Felix SB, Floyd JS, Broer L, Grarup N, Guo MH, Guo Q, Greinacher A, Haessler J, Hansen T, Howson JMM, Huang W, Jorgenson E, Kacprowski T, Kähönen M, Kamatani Y, Kanai M, Karthikeyan S, Koskeridis F, Lange LA, Lehtimäki T, Linneberg A, Liu Y, Lyytikäinen LP, Manichaikul A, Matsuda K, Mohlke KL, Mononen N, Murakami Y, Nadkarni GN, Nikus K, Pankratz N, Pedersen O, Preuss M, Psaty BM, Raitakari OT, Rich SS, Rodriguez BAT, Rosen JD, Rotter JI, Schubert P, Spracklen CN, Surendran P, Tang H, Tardif JC, Ghanbari M, Völker U, Völzke H, Watkins NA, Weiss S; VA Million Veteran Program; Cai N, Kundu K, Watt SB, Walter K, Zonderman AB, Cho K, Li Y, Loos RJF, Knight JC, Georges M, Stegle O, Evangelou E, Okada Y, Roberts DJ, Inouye M, Johnson AD, Auer PL, Astle WJ, Rei… See abstract for full author list ➔ Vuckovic D, et al. Cell. 2020 Sep 3;182(5):1214-1231.e11. doi: 10.1016/j.cell.2020.08.008. Cell. 2020. PMID: 32888494 Free PMC article.
We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering v …
We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes …
Musculoskeletal exercise: Its role in promoting health and longevity.
D'Onofrio G, Kirschner J, Prather H, Goldman D, Rozanski A. D'Onofrio G, et al. Prog Cardiovasc Dis. 2023 Mar-Apr;77:25-36. doi: 10.1016/j.pcad.2023.02.006. Epub 2023 Feb 24. Prog Cardiovasc Dis. 2023. PMID: 36841491 Review.
The functioning of the musculoskeletal system declines with age, resulting in sarcopenia, loss of muscle strength and power, decrease in muscle flexibility and balance. Other pertinent age-related changes include decline in basal metabolic rate, increase in fat mass, and d …
The functioning of the musculoskeletal system declines with age, resulting in sarcopenia, loss of muscle strength and power, decrease …
Axonemal structures reveal mechanoregulatory and disease mechanisms.
Walton T, Gui M, Velkova S, Fassad MR, Hirst RA, Haarman E, O'Callaghan C, Bottier M, Burgoyne T, Mitchison HM, Brown A. Walton T, et al. Nature. 2023 Jun;618(7965):625-633. doi: 10.1038/s41586-023-06140-2. Epub 2023 May 31. Nature. 2023. PMID: 37258679 Free PMC article.
Motile cilia and flagella beat rhythmically on the surface of cells to power the flow of fluid and to enable spermatozoa and unicellular eukaryotes to swim. ...Ciliary movement is generated by the axoneme, a molecular machine consisting of microtubules, ATP-powered …
Motile cilia and flagella beat rhythmically on the surface of cells to power the flow of fluid and to enable spermatozoa and unicellu …
Sheath-run artificial muscles.
Mu J, Jung de Andrade M, Fang S, Wang X, Gao E, Li N, Kim SH, Wang H, Hou C, Zhang Q, Zhu M, Qian D, Lu H, Kongahage D, Talebian S, Foroughi J, Spinks G, Kim H, Ware TH, Sim HJ, Lee DY, Jang Y, Kim SJ, Baughman RH. Mu J, et al. Science. 2019 Jul 12;365(6449):150-155. doi: 10.1126/science.aaw2403. Science. 2019. PMID: 31296765
A sheath-run electrochemical muscle generates 1.98 watts per gram of average contractile power-40 times that for human muscle and 9.0 times that of the highest power alternative electrochemical muscle. ...
A sheath-run electrochemical muscle generates 1.98 watts per gram of average contractile power-40 times that for human muscle and 9.0 …
Development of PainFace software to simplify, standardize, and scale up mouse grimace analyses.
McCoy ES, Park SK, Patel RP, Ryan DF, Mullen ZJ, Nesbitt JJ, Lopez JE, Taylor-Blake B, Vanden KA, Krantz JL, Hu W, Garris RL, Snyder MG, Lima LV, Sotocinal SG, Austin JS, Kashlan AD, Shah S, Trocinski AK, Pudipeddi SS, Major RM, Bazick HO, Klein MR, Mogil JS, Wu G, Zylka MJ. McCoy ES, et al. Pain. 2024 Aug 1;165(8):1793-1805. doi: 10.1097/j.pain.0000000000003187. Epub 2024 Feb 13. Pain. 2024. PMID: 39024163
PainFace can generate up to 1 grimace score per second from a standard 30 frames/s video, making it possible to quantify facial grimacing over time, and operates at a speed that scales with computing power. By analyzing the frequency distribution of grimace scores, we foun …
PainFace can generate up to 1 grimace score per second from a standard 30 frames/s video, making it possible to quantify facial grimacing ov …
25th Annual Computational Neuroscience Meeting: CNS-2016.
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, Levi R, Rodriguez FB, Varona P, Hwang E, Kim B, Han HB, Kim T, McKenna JT, Brown RE, McCarley RW, Choi JH, Rankin J, Popp PO, Rinzel J, Tabas A, Rupp A, Balaguer-Ballester E, Maturana MI, Grayden DB, Cloherty SL, Kameneva T, Ibbotson MR, Meffin H, Koren V, Lochmann T, Dragoi V, Obermayer K, Psarrou M, Schilstra M, Davey N, Torben-Nielsen B, Steuber V, Ju H, Yu J, Hines ML, Chen L, Yu Y, Kim J, Leahy W, Shlizerman E, Birgiolas J, Gerkin RC, Crook SM, Viriyopase A, Memmesheimer RM, Gielen S, Dabaghian Y, DeVito J, Perotti L, Kim AJ, Fenk LM, Cheng C, Maimon G, Zhao C, Widmer Y, Sprecher S, Senn W, Halnes G, Mäki-Marttunen T, Keller D, Pettersen KH, Andreassen OA, Einevoll GT, Yamada Y, Steyn-Ross ML, Alistair Steyn-Ross D, Mejias JF, Murray JD, Kennedy H, Wang XJ, Kruscha A, Grewe J, Benda J, Lindner B, Badel L, Ohta K, Tsuchimoto Y, Kazama H, Kahng B, Tam ND, Pollonini L, Zouridakis G, Soh J, Kim D, Yoo M, Palmer SE, Culmone V, Bojak I, Ferrario A, Merrison-Hort R, Borisyuk R, Kim CS, Tezuka T, Joo P, Rho YA, Burt… See abstract for full author list ➔ Sharpee TO, et al. BMC Neurosci. 2016 Aug 18;17 Suppl 1(Suppl 1):54. doi: 10.1186/s12868-016-0283-6. BMC Neurosci. 2016. PMID: 27534393 Free PMC article.
A model of olfactory associative learning Chang Zhao, Yves Widmer, Simon Sprecher,Walter Senn O15 Effects of ionic diffusion on power spectra of local field potentials (LFP) Geir Halnes, Tuomo Maki-Marttunen, Daniel Keller, Klas H. ...Spinney, Mikail Rubinov, Michael Wibra …
A model of olfactory associative learning Chang Zhao, Yves Widmer, Simon Sprecher,Walter Senn O15 Effects of ionic diffusion on power …
Multi-response Mendelian randomization: Identification of shared and distinct exposures for multimorbidity and multiple related disease outcomes.
Zuber V, Lewin A, Levin MG, Haglund A, Ben-Aicha S, Emanueli C, Damrauer S, Burgess S, Gill D, Bottolo L. Zuber V, et al. Am J Hum Genet. 2023 Jul 6;110(7):1177-1199. doi: 10.1016/j.ajhg.2023.06.005. Am J Hum Genet. 2023. PMID: 37419091 Free PMC article.
We demonstrate that by accounting for residual correlation, MR(2) has higher power to detect shared exposures causing more than one outcome. It also provides more accurate causal effect estimates than existing methods that ignore the dependence between related responses. . …
We demonstrate that by accounting for residual correlation, MR(2) has higher power to detect shared exposures causing more than one o …
Advanced Energy Harvesters and Energy Storage for Powering Wearable and Implantable Medical Devices.
Gao Z, Zhou Y, Zhang J, Foroughi J, Peng S, Baughman RH, Wang ZL, Wang CH. Gao Z, et al. Adv Mater. 2024 Oct;36(42):e2404492. doi: 10.1002/adma.202404492. Epub 2024 Jul 6. Adv Mater. 2024. PMID: 38935237 Review.
Commercialized WIMDs use primary or rechargeable batteries to power their sensing, actuation, stimulation, and communication functions, and periodic battery replacements of implanted active medical devices pose major risks of surgical infections or inconvenience to users. …
Commercialized WIMDs use primary or rechargeable batteries to power their sensing, actuation, stimulation, and communication function …
438 results