Journal articles on the topic 'Precision'

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1

Bhatia, Kartikeya, and Devendra Duda. "Precision Farming." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 403–6. http://dx.doi.org/10.31142/ijtsrd22793.

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2

White, Owen Roberts. "Precision Teaching—Precision Learning." Exceptional Children 52, no. 6 (April 1986): 522–34. http://dx.doi.org/10.1177/001440298605200605.

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Precision Teaching represents a set of procedures for deciding if, when, and how an instructional program might be improved to facilitate pupil learning. A brief summary of those procedures is provided, along with their rationale and an overview of studies that demonstrate the efficacy and efficiency of Precision Teaching in applied educational settings.
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3

Gluch, Sibylle. "Promises of precision: questioning precision in ‘precision’ instruments." Annals of Science 81, no. 1-2 (January 2, 2024): 1–9. http://dx.doi.org/10.1080/00033790.2023.2282777.

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4

Higham, Nicholas J., and Theo Mary. "Mixed precision algorithms in numerical linear algebra." Acta Numerica 31 (May 2022): 347–414. http://dx.doi.org/10.1017/s0962492922000022.

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Today’s floating-point arithmetic landscape is broader than ever. While scientific computing has traditionally used single precision and double precision floating-point arithmetics, half precision is increasingly available in hardware and quadruple precision is supported in software. Lower precision arithmetic brings increased speed and reduced communication and energy costs, but it produces results of correspondingly low accuracy. Higher precisions are more expensive but can potentially provide great benefits, even if used sparingly. A variety of mixed precision algorithms have been developed that combine the superior performance of lower precisions with the better accuracy of higher precisions. Some of these algorithms aim to provide results of the same quality as algorithms running in a fixed precision but at a much lower cost; others use a little higher precision to improve the accuracy of an algorithm. This survey treats a broad range of mixed precision algorithms in numerical linear algebra, both direct and iterative, for problems including matrix multiplication, matrix factorization, linear systems, least squares, eigenvalue decomposition and singular value decomposition. We identify key algorithmic ideas, such as iterative refinement, adapting the precision to the data, and exploiting mixed precision block fused multiply–add operations. We also describe the possible performance benefits and explain what is known about the numerical stability of the algorithms. This survey should be useful to a wide community of researchers and practitioners who wish to develop or benefit from mixed precision numerical linear algebra algorithms.
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5

Rajeevan, Mangalathu S., Tengguo Li, and Elizabeth R. Unger. "Precision Medicine Requires Precision Laboratories." Journal of Molecular Diagnostics 19, no. 2 (March 2017): 226–29. http://dx.doi.org/10.1016/j.jmoldx.2017.01.001.

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6

Church, George M. "Precision Chemistry for Precision Medicine." ACS Central Science 1, no. 1 (March 23, 2015): 11–13. http://dx.doi.org/10.1021/acscentsci.5b00088.

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7

Bishop, Jeffrey R., and Vicki L. Ellingrod. "Precision Pharmacotherapy Enables Precision Medicine." Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 37, no. 9 (August 23, 2017): 985–87. http://dx.doi.org/10.1002/phar.1998.

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8

Gillman, Matthew W., and Ross A. Hammond. "Precision Treatment and Precision Prevention." JAMA Pediatrics 170, no. 1 (January 1, 2016): 9. http://dx.doi.org/10.1001/jamapediatrics.2015.2786.

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9

Dannals, Jennifer, Andrea Freund, and Scott Wiltermuth. "Anchoring Precision or Precision in Anchoring? Exploring Precision in Negotiations." Academy of Management Proceedings 2017, no. 1 (August 2017): 14443. http://dx.doi.org/10.5465/ambpp.2017.14443symposium.

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CHENG, M. N., C. F. CHEUNG, W. B. LEE, and S. TO. "Optimization of Surface Finish in Ultra-precision Raster Milling(Ultra-precision machining)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.3 (2005): 1019–24. http://dx.doi.org/10.1299/jsmelem.2005.3.1019.

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11

Thurber, James. "Precision." American Journal of Economics and Sociology 53, no. 1 (January 1994): 84. http://dx.doi.org/10.1111/j.1536-7150.1994.tb02675.x.

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12

Lemieux, Brenna W. "Precision." Ploughshares 38, no. 4 (2012): 80. http://dx.doi.org/10.1353/plo.2012.0121.

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13

Rowland, Robyn. "Precision." Antipodes 36, no. 1 (2022): 17–18. http://dx.doi.org/10.1353/apo.2022.a906029.

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14

Chabner, Bruce A. "Understanding the Precision in “Precision Medicine”." Oncologist 21, no. 9 (August 26, 2016): 1029–30. http://dx.doi.org/10.1634/theoncologist.2016-0278.

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15

Brown, Noah A., and Kojo S. J. Elenitoba-Johnson. "Enabling Precision Oncology Through Precision Diagnostics." Annual Review of Pathology: Mechanisms of Disease 15, no. 1 (January 24, 2020): 97–121. http://dx.doi.org/10.1146/annurev-pathmechdis-012418-012735.

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Genomic testing enables clinical management to be tailored to individual cancer patients based on the molecular alterations present within cancer cells. Genomic sequencing results can be applied to detect and classify cancer, predict prognosis, and target therapies. Next-generation sequencing has revolutionized the field of cancer genomics by enabling rapid and cost-effective sequencing of large portions of the genome. With this technology, precision oncology is quickly becoming a realized paradigm for managing the treatment of cancer patients. However, many challenges must be overcome to efficiently implement the transition of next-generation sequencing from research applications to routine clinical practice, including using specimens commonly available in the clinical setting; determining how to process, store, and manage large amounts of sequencing data; determining how to interpret and prioritize molecular findings; and coordinating health professionals from multiple disciplines.
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16

Delanty, Norman. "From precision diagnosis to precision therapy." Journal of the Neurological Sciences 455 (December 2023): 120900. http://dx.doi.org/10.1016/j.jns.2023.120900.

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17

Anil, Arathi, K. V Arun, Biju Balakrishnan, Maya Rajan Peter, and Reshma Suresh. "Precision Periodontics - A Review." International Journal of Science and Research (IJSR) 12, no. 11 (November 5, 2023): 1753–55. http://dx.doi.org/10.21275/sr231124150026.

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18

Ielapi, Nicola, Michele Andreucci, Noemi Licastro, Teresa Faga, Raffaele Grande, Gianluca Buffone, Sabrina Mellace, Paolo Sapienza, and Raffaele Serra. "Precision Medicine and Precision Nursing: The Era of Biomarkers and Precision Health." International Journal of General Medicine Volume 13 (December 2020): 1705–11. http://dx.doi.org/10.2147/ijgm.s285262.

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19

Hayashi, Masahito, and Yingkai Ouyang. "Tight Cramér-Rao type bounds for multiparameter quantum metrology through conic programming." Quantum 7 (August 29, 2023): 1094. http://dx.doi.org/10.22331/q-2023-08-29-1094.

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In the quest to unlock the maximum potential of quantum sensors, it is of paramount importance to have practical measurement strategies that can estimate incompatible parameters with best precisions possible. However, it is still not known how to find practical measurements with optimal precisions, even for uncorrelated measurements over probe states. Here, we give a concrete way to find uncorrelated measurement strategies with optimal precisions. We solve this fundamental problem by introducing a framework of conic programming that unifies the theory of precision bounds for multiparameter estimates for uncorrelated and correlated measurement strategies under a common umbrella. Namely, we give precision bounds that arise from linear programs on various cones defined on a tensor product space of matrices, including a particular cone of separable matrices. Subsequently, our theory allows us to develop an efficient algorithm that calculates both upper and lower bounds for the ultimate precision bound for uncorrelated measurement strategies, where these bounds can be tight. In particular, the uncorrelated measurement strategy that arises from our theory saturates the upper bound to the ultimate precision bound. Also, we show numerically that there is a strict gap between the previous efficiently computable bounds and the ultimate precision bound.
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20

Song, Yue Xian, Qing Jian Li, Sheng Lan Li, Cheng Yong Wang, and Li Juan Zheng. "Development of Ultra-Precison Single-Plane Lapping Machine." Key Engineering Materials 589-590 (October 2013): 491–96. http://dx.doi.org/10.4028/www.scientific.net/kem.589-590.491.

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An ultra-precision lapping machine is developed, with precision turning technology to condition lapping plate in situ, pressurizating by cylinder pressure, and cooling frictional heat with inner cooling system, the lapping machine is used for ultra-precision lapping of brittle materials. The design concept and the structure of the key components of the utra-precision sngle-plane lpping mchine are discussed. After precision turning, the flatness of lapping plate is down to 0.002 mm/400 mm, and experimental results show that the flatness of circular grating glass has been greatly improved after ultra-precison lapping.
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21

Zhan, Mingsheng, and Xincheng Xie. "Precision measurement physics: physics that precision matters." National Science Review 7, no. 12 (December 2020): 1795. http://dx.doi.org/10.1093/nsr/nwaa271.

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22

Bierman, Arlene S., and Mary E. Tinetti. "Precision medicine to precision care: managing multimorbidity." Lancet 388, no. 10061 (December 2016): 2721–23. http://dx.doi.org/10.1016/s0140-6736(16)32232-2.

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23

Paz, Dante J., and Ariel G. Sánchez. "Improving the precision matrix for precision cosmology." Monthly Notices of the Royal Astronomical Society 454, no. 4 (October 28, 2015): 4326–34. http://dx.doi.org/10.1093/mnras/stv2259.

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24

Sutterer, D. W., D. E. Anderson, and E. Awh. "Perceptual Precision Predicts Visual Working Memory Precision." Journal of Vision 13, no. 9 (July 25, 2013): 1360. http://dx.doi.org/10.1167/13.9.1360.

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25

Hoo, Regina, Kevin L. M. Chua, Pankaj Kumar Panda, Anders J. Skanderup, and Daniel S. W. Tan. "Precision Endpoints for Contemporary Precision Oncology Trials." Cancer Discovery 14, no. 4 (April 4, 2024): 573–78. http://dx.doi.org/10.1158/2159-8290.cd-24-0042.

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Summary: Traditional endpoints such as progression-free survival and overall survival do not fully capture the pharmacologic and pharmacodynamic effects of a therapeutic intervention. Incorporating mechanism-driven biomarkers and validated surrogate proximal endpoints can provide orthogonal readouts of anti-tumor activity and delineate the relative contribution of treatment components on an individual level, highlighting the limitation of solely relying on aggregated readouts from clinical trials to facilitate go/no-go decisions for precision therapies.
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26

Newsom, Rob K., W. Alan Brewer, James M. Wilczak, Daniel E. Wolfe, Steven P. Oncley, and Julie K. Lundquist. "Validating precision estimates in horizontal wind measurements from a Doppler lidar." Atmospheric Measurement Techniques 10, no. 3 (March 30, 2017): 1229–40. http://dx.doi.org/10.5194/amt-10-1229-2017.

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Abstract. Results from a recent field campaign are used to assess the accuracy of wind speed and direction precision estimates produced by a Doppler lidar wind retrieval algorithm. The algorithm, which is based on the traditional velocity-azimuth-display (VAD) technique, estimates the wind speed and direction measurement precision using standard error propagation techniques, assuming the input data (i.e., radial velocities) to be contaminated by random, zero-mean, errors. For this study, the lidar was configured to execute an 8-beam plan-position-indicator (PPI) scan once every 12 min during the 6-week deployment period. Several wind retrieval trials were conducted using different schemes for estimating the precision in the radial velocity measurements. The resulting wind speed and direction precision estimates were compared to differences in wind speed and direction between the VAD algorithm and sonic anemometer measurements taken on a nearby 300 m tower.All trials produced qualitatively similar wind fields with negligible bias but substantially different wind speed and direction precision fields. The most accurate wind speed and direction precisions were obtained when the radial velocity precision was determined by direct calculation of radial velocity standard deviation along each pointing direction and range gate of the PPI scan. By contrast, when the instrumental measurement precision is assumed to be the only contribution to the radial velocity precision, the retrievals resulted in wind speed and direction precisions that were biased far too low and were poor indicators of data quality.
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27

Jankov, S., Z. Cvetkovic, and R. Pavlovic. "Binary star astrometry with milli and sub-milli arcsecond precision." Serbian Astronomical Journal, no. 188 (2014): 1–21. http://dx.doi.org/10.2298/saj1488001j.

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The past several decades have seen accelerating progress in improving binary stars fundamental parameters determinations, as new observational techniques have produced visual orbits of many spectroscopic binaries with a milli arcsecond precision. Modern astrometry is rapidly approaching the goal of sub-milli arcsecond precision, and although presently this precision has been achieved only for a limited number of binary stars, in the near future this will become a standard for very large number of objects. In this paper we review the representative results of techniques which have already allowed the sub-milli arcsecond precision like the optical long baseline interferometry, as well as the precursor techniques such as speckle interferometry, adaptive optics and aperture masking. These techniques provide a step forward from milli to sub-milli arcsecond precision, allowing even short period binaries to be resolved, and often resulting in orbits allowing precisions in stellar dynamical masses better than 1%. We point out that such unprecedented precisions should allow for a significant improvement of our comprehension of stellar physics and other related astrophysical topics.
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28

SM, Afonin. "Precision Engine for Nanobiomedical Research." Biomedical Research and Clinical Reviews 3, no. 4 (March 23, 2021): 01–05. http://dx.doi.org/10.31579/2692-9406/051.

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The transfer function and the transfer coefficient of a precision electromagnetoelastic engine for nanobiomedical research are obtained. The structural diagram of an electromagnetoelastic engine has a difference in the visibility of energy conversion from Cady and Mason electrical equivalent circuits of a piezo vibrator. The structural diagram of an electromagnetoelastic engine is founded. The structural diagram of the piezo engine for nanobiomedical research is written. The transfer functions of the piezo engine or are obtained.
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29

Šilha, J., P. Hamouz, V. Táborský, K. Štípek, J. Šnobl, K. Voříšek, L. Růžek, L. Brodský, and K. Švec. "Case studies for precision agriculture." Plant Protection Science 38, SI 2 - 6th Conf EFPP 2002 (December 31, 2017): 704–10. http://dx.doi.org/10.17221/10595-pps.

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The results of spatial variability of plant-available soil nutrients (P, K, Mg) and soil pH are described in this paper. Experiment was realized on the field of area 72 ha (orthic luvisol), located in the area of Český Brod. The use of coefficient of variation as a criterion of variability of soil agrochemical properties and yield on the field showed the following: the highest variability was observed in available P, the second highest variability was in available K, and the lowest variability of main non-mobile nutrients was in the available Mg. Soil pH was the lowest of all measured soil properties. Although the highest correlation coefficient between the soil available P content and soil pH was established, the process of spatial dependence was not detected. Detailed field scouting and others data can be important elements, as can complex decision rules, taking into account additional factors such as the characteristics of crop protection agents and preferences of the farm manager. This paper illustrates, how to plant nutritions, crop protection, crop production might be integrated to support these diseases and weeds management decisions.
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30

De Viveiros, Pedro A. Hermida, Imran Nizamuddin, George Kalapurakal, Amir Behdad, Massimo Cristofanilli, and Devalingam Mahalingam. "Precision Oncology." Advances in Oncology 1 (May 2021): 97–112. http://dx.doi.org/10.1016/j.yao.2021.02.009.

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31

De Micheli, A. "Clinical precision." Journal of AMD 22, no. 1-2 (June 2019): 54. http://dx.doi.org/10.36171/jamd19.22.1-2.07.

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32

Maxfield, Kimberly, and Issam Zineh. "Precision Dosing." JAMA 325, no. 15 (April 20, 2021): 1505. http://dx.doi.org/10.1001/jama.2021.1004.

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33

Masson, Veneta. "Precision Medicine." Annals of Internal Medicine 164, no. 9 (May 3, 2016): 610. http://dx.doi.org/10.7326/m16-0222.

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34

Bujdos, Ágnes. "Precision Agriculture." Hungarian Yearbook of International Law and European Law 6, no. 1 (December 2018): 371–88. http://dx.doi.org/10.5553/hyiel/266627012018006001022.

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35

Tomida, Shuta, and Shinichi Toyooka. "Precision Medicine." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 129, no. 1 (2017): 59–60. http://dx.doi.org/10.4044/joma.129.59.

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36

Sheffer, Joseph. "Precision Tracking." Biomedical Instrumentation & Technology 52, no. 6 (November 1, 2018): 402. http://dx.doi.org/10.2345/0899-8205-52.6.402.

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37

Pinho, João Renato Rebello. "Precision Medicine." Einstein (São Paulo) 15, no. 1 (March 2017): VII—X. http://dx.doi.org/10.1590/s1679-45082017ed4016.

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38

Zinner, Ira D. "Precision Attachments." Dental Clinics of North America 31, no. 3 (July 1987): 395–416. http://dx.doi.org/10.1016/s0011-8532(22)02079-1.

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39

Jenzen-Jones, N. R., and Jack Shanley. "Precision Strike." RUSI Journal 166, no. 5 (July 29, 2021): 76–92. http://dx.doi.org/10.1080/03071847.2021.2016208.

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40

Ehlers, P. Nikolai. "Precision Pays." Air and Space Law 32, Issue 6 (November 1, 2007): 467–68. http://dx.doi.org/10.54648/aila2007049.

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41

Dorr, Lawrence D., and Prashant Deshmane. "Precision Surgery." Orthopedics 32, no. 9 (September 1, 2009): 659–61. http://dx.doi.org/10.3928/01477447-20090728-26.

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42

Martinez-Aran, Anabel, and Eduard Vieta. "Precision psychotherapy." European Neuropsychopharmacology 55 (February 2022): 20–21. http://dx.doi.org/10.1016/j.euroneuro.2021.10.771.

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43

Harrington, Linda. "Precision Nursing." AACN Advanced Critical Care 32, no. 3 (September 15, 2021): 243–46. http://dx.doi.org/10.4037/aacnacc2021471.

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44

Watts, Brendan, and Andrew Pick. "Robotic Precision." ATZautotechnology 8, no. 3 (March 2008): 38–41. http://dx.doi.org/10.1007/bf03247038.

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45

MARKARIAN, JENNIFER. "Precision Production." Plastics Engineering 77, no. 6 (June 2021): 34–37. http://dx.doi.org/10.1002/peng.20527.

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46

Balevic, Stephen J., and Anna Carmela P. Sagcal-Gironella. "Precision Medicine." Rheumatic Disease Clinics of North America 48, no. 1 (February 2022): 305–30. http://dx.doi.org/10.1016/j.rdc.2021.09.010.

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47

Holman, Laura L. "Precision Medicine." Oncology Times 39, no. 17 (September 2017): 1. http://dx.doi.org/10.1097/01.cot.0000525218.72486.f4.

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48

O'Donncha, Fearghal, and Jon Grant. "Precision Aquaculture." IEEE Internet of Things Magazine 2, no. 4 (December 2019): 26–30. http://dx.doi.org/10.1109/iotm.0001.1900033.

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49

Kosorok, Michael R., and Eric B. Laber. "Precision Medicine." Annual Review of Statistics and Its Application 6, no. 1 (March 7, 2019): 263–86. http://dx.doi.org/10.1146/annurev-statistics-030718-105251.

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Precision medicine seeks to maximize the quality of health care by individualizing the health-care process to the uniquely evolving health status of each patient. This endeavor spans a broad range of scientific areas including drug discovery, genetics/genomics, health communication, and causal inference, all in support of evidence-based, i.e., data-driven, decision making. Precision medicine is formalized as a treatment regime that comprises a sequence of decision rules, one per decision point, which map up-to-date patient information to a recommended action. The potential actions could be the selection of which drug to use, the selection of dose, the timing of administration, the recommendation of a specific diet or exercise, or other aspects of treatment or care. Statistics research in precision medicine is broadly focused on methodological development for estimation of and inference for treatment regimes that maximize some cumulative clinical outcome. In this review, we provide an overview of this vibrant area of research and present important and emerging challenges.
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50

Loscalzo, Joseph. "Precision Medicine." Circulation Research 124, no. 7 (March 29, 2019): 987–89. http://dx.doi.org/10.1161/circresaha.119.314403.

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