ライフサイエンスコーパス: personalize

1 Improved personalized adjustment of primary therapy to the percei

2 The studies underscore the need for personalized administration of RvE1 based on genetic/met

3 duration and efficiency which can help guide personalized advice on sleep length and preventive pract

4 opioid effects on other cancer types and to personalize analgesic regimens in patients with cancer f

5 Exacerbation) examined the performance of a personalized analytical platform using continuous data s

6 ramatically along with the demand for easily personalized and customizable genome browsers for effect

7 Analyzing epigenomic datasets with personalized and graph genomes allows the recovery of ne

8 e identified the intronic CRISPR repair as a personalized and in our view clinically translatable the

9 information could aid in the development of personalized and more effective brain stimulation therap

10 e results of this study clearly suggest that personalized and population-based approaches considering

11 ed nanoparticle designs utilized in both non-personalized and precision applications that could be ap

12 s well as translational science by informing personalized and timely models of intervention delivery.

13 ign of implants and biomaterials that can be personalized, and exhibit enhanced osseointegration pote

14 rly treatment (pharmacogenomically informed, personalized, and preventive).

15 This is a simple, personalized, and scalable platform for effective topica

16 romes has relevant implications to seek new, personalized, and timely treatments for Group 2 PH.

17 ent a proof-of-concept of a new algorithm of personalized anti-tumor therapy based on highly innovati

18 ts with a high MV score could benefit from a personalized antiplatelet therapy.

19 As we progress toward personalized applications of therapeutic and genomic dev

20 Although the personalized approach draws on long-standing influences

21 on, could facilitate the implementation of a personalized approach for mood stabilization.

22 of 236 (9.7%) participants reported SSTI in Personalized Approach households; difference in proporti

23 etworks that may eventually be targeted in a personalized approach of chronic low-grade inflammation.

24 and results of genetic testing can provide a personalized approach to cancer screening and prevention

25 nset and may ultimately contribute to a more personalized approach to classification of seizure types

26 ponses to increasing mean glycemia support a personalized approach to glucose control practices in th

27 DO or TDO targeting agents and constitutes a personalized approach to immunotherapy, particularly in

28 The personalized approach to psychopathology conceptualizes

29 The personalized approach to psychopathology holds promise t

30 We utilized a novel personalized approach to treating APOE4 susceptible mice

31 Non-inferiority of the Personalized Approach was established for the primary ou

32 The Personalized Approach was non-inferior to the Household

33 design of new interventional trials and for personalized approaches to neuropathy prevention.

34 ng case to provide the public with practical personalized approaches to reduce the health effects of

35 ent may require a paradigm shift toward more personalized approaches.

36 ed with poor fungal immunity could lead to a personalized assessment for the continued need for antif

37 Our results demonstrate that personalized, automated electronic alerts increase scree

38 discharge, the analytical platform derived a personalized baseline model of expected physiological va

39 measure any surgical changes against such a personalized benchmark.

40 This technology might enable personalized bioelectronics for neuroprosthetic applicat

41 A powerful approach to examine the personalized biology of liver cancers and the influence

42 ve medicine applications including those for personalized bone repair.

43 italizations related to stress, more so when personalized by gender and diagnosis.

44 of patient samples, and phenotypic assays in personalized cancer avatars.

45 t PK variability, a step towards precise and personalized cancer chronotherapy.

46 that can be used to develop multiantigenic, personalized cancer immunotherapies.

47 en prediction which eventually contribute to personalized cancer immunotherapy.

48 marker and as a future therapeutic target in personalized cancer medicine.

49 Tailoring personalized cancer nanomedicines demands detailed under

50 rget p53 mutations for widely applicable yet personalized cancer therapies.

51 ve the potential of accelerating the pace of personalized cancer treatment.

52 late the suppressive TME, and enable in situ personalized cancer vaccination.

53 Personalized cancer vaccines are a promising approach fo

54 Personalized cancer vaccines are emerging as one of the

55 the cancer cell surface, the development of personalized cancer vaccines based on IR-derived neoepit

56 lity can present challenges to manufacturing personalized cancer vaccines in an optimal format for in

57 Personalized cancer vaccines targeting patient-specific

58 errant IR may aid in the development of such personalized cancer vaccines.

59 nd increase the number of patients receiving personalized care and counselling on prognosis and recur

60 Results are important considerations for personalized care and risk stratification.

61 As a consequence, personalized care has become a critical part of developi

62 account can potentially change the field of personalized care in these neurotropic cancers.

63 tions of genome sequencing for diagnosis and personalized care.

64 ore effective and safe therapies that enable personalized care.

65 idant capacity, with potentially distinctive personalized clinical consequences.

66 t attributes simultaneously, to support more personalized clinical decision making than can be made o

67 ta and provide new insights that might guide personalized clinical decisions for PTEN-variant carrier

68 F-fluordeoxyglucose (18F-FDG) uptake after a personalized cold exposure with energy intake and appeti

69 chemotherapies are attractive components of personalized combination regimens for combatting aggress

70 orts pave the path for the implementation of personalized combinatorial cancer therapy.

71 ML and personalized computational modeling can be used together

72 logy that combines machine learning (ML) and personalized computational modeling to predict, before P

73 nt and user-friendly toolbox for large-scale personalized constraint-based metabolic modeling.

74 ogical findings of the affected organs for a personalized decision-making process for each patient.

75 Households were randomized 1:1 to the Personalized (decolonization performed only by household

76 This can be used clinically as a personalized descemetorrhexis zone for Descemet strippin

77 anding of the tumor microenvironment and the personalized design of upconversion nanoparticles will r

78 nagement does not take full advantage of the personalized diagnostic and treatment modalities availab

79 e findings may be informative for developing personalized diet strategies.

80 n data, could enable more effective and more personalized dietary planning.

81 approaches to new nutraceuticals as well as personalized dietary planning.

82 precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic resp

83 results provide mechanistic insight into how personalized differences in microbial communities influe

84 Because of challenges in performing routine personalized dosimetry in radiopharmaceutical therapies,

85 Simplified personalized dosimetry in the clinic continues to be cha

86 suggestions and recommendations for improved personalized dosimetry using simplified imaging schemes.

87 f oxycodone blood concentration would enable personalized dosing and monitoring of the analgesic as w

88 osensing microneedle patches associated with personalized drug therapy and selective toxicity toward

89 The European Collaborative on Personalized Early Detection and Prevention of Breast Ca

90 onsortia working on different aspects of the personalized early detection and prevention of breast ca

91 Patients expressed a desire for personalized education to be a standard part of glaucoma

92 P) group (n = 3,436) received a JADE report, personalized empowerment, and annual telephone reminder

93 advancing methods designed to generate more personalized evidence.

94 ing early stages, raising the possibility of personalized eye care.

95 aimed to develop a system to provide monthly personalized feedback and healthier swaps based on nutri

96 Polygenic risk scores (PRS) provide a personalized genetic susceptibility profile that may be

97 We show that using a graph personalized genome represents a reasonable compromise b

98 nal change (38 participants, 157 citations), personalized glaucoma education (38 participants, 149 ci

99 EGgamma-proteasome as a potential target for personalized HCC therapy.

100 strategies encompassing diet and nutrition, personalized health monitoring, and performance optimiza

101 Personalizing health care by taking genetic, environment

102 ignificant efforts to improve treatments and personalize healthcare.

103 With the rising demand for personalized healthcare and health management tools, ele

104 sensors, have limited their feasibility as a personalized healthcare device.

105 ors in applications spanning from remote and personalized healthcare to wellness.

106 ant contributions to diagnostics and derived personalized healthcare.

107 Our findings might help personalizing immune-checkpoint inhibition for patients

108 g seems safe, results in a similar eGFR, and personalizes immunosuppressive therapy by lowering expos

109 totoxic T lymphocyte biology and to optimize personalized immunotherapy in cancer treatment.

110 njectable defect fillers (cements) and allow personalized implants to be rapidly prototyped by 3D bio

111 ntrast, more differentiated B-cells are more personalized in terms of CDR structure usage.

112 FSA scores provide a personalized index of striatal dysfunction, ranging from

113 aluated the rapid-pacing-induced VTs in each personalized inFAT-based substrate.

114 jective neural markers to advance efforts to personalize interventions by guiding individual-level ch

115 hed through precision therapeutics, in which personalized interventions have enhanced therapeutic eff

116 n, and they may help lay the foundations for personalized interventions in the future.

117 quiring development to enable evidence-based personalized interventions that might improve the benefi

118 progress in the discovery and application of personalized interventions to optimize brain and cogniti

119 agnosis in clinical practice will facilitate personalized interventions.

120 sing schizophrenia heterogeneity and guiding personalized interventions.

121 on rsFC-SP change and pave the road to more personalized interventions.

122 sponse with the goal of developing targeted, personalized interventions; (2) optimizing pre-clinical

123 arget efficiency and off-target events using personalized iPSC-RPE model systems is warranted.

124 In summary, personalized iPSC-RPE models can be used to select among

125 tocol to guide data collection for issuing a personalized JADE report including risk categories (1-4,

126 y-affiliated diabetes center (UDC), the JADE-Personalized (JADE-P) group (n = 3,436) received a JADE

127 tion based on kidney biopsy findings towards personalized management based on clinical, morphological

128 sion can limit unnecessary PPI use and guide personalized management.

129 to be optimized for drug delivery in a more personalized manner, entering the era of precision medic

130 escribe and analyze the outcomes of AIT in a personalized manner.

131 For patient-level predictions, we computed personalized MAP scores as the proportion of MAP beats p

132 These findings may guide selection of personalized mechanical ventilation settings.

133 f great clinical utility and contribute to a personalized medical approach with the possibility of to

134 g of therapeutic response-paving the way for personalized medical care.

135 Personalized medical therapies that target the precise n

136 marker assays may allow for more precise and personalized medical treatments in CRS.

137 understanding of biology and our capacity to personalize medicine.

138 ogies at diagnosis could open up avenues for personalized medicine and allow clinical resources to be

139 Personalized medicine and therapies represent the goal o

140 and analyzing patient derived samples toward personalized medicine applications.

141 in drug efficacy linked to DNAJA1 suggests a personalized medicine approach where tumor DNAJA1 status

142 psilocybin and may therefore contribute to a personalized medicine approach within the potential fram

143 nt of the treatment strategy by implementing personalized medicine are warranted to achieve optimal d

144 ughput screening, cardiotoxicity testing and personalized medicine assays, and long-term (aspirationa

145 moving forward toward future preventive and personalized medicine devices are also discussed.

146 re (1) criteria for specimen adequacy in the personalized medicine era, (2) team-based approaches to

147 n starkly underrepresented in the pursuit of personalized medicine for brain illnesses.

148 ange these circumstances and build access to personalized medicine for disadvantaged populations.

149 Robust developments of personalized medicine for next-generation healthcare hig

150 ne sequencing capability and a shift towards personalized medicine holds significant promise for p53

151 ant parameters could provide a framework for personalized medicine in diabetes.

152 outcome to treatment responses thus enabling personalized medicine in the selection of specific treat

153 Personalized medicine offers great potential benefits fo

154 al relevance as a platform for precision and personalized medicine research.

155 d acquired resistance and the development of personalized medicine strategies for UTUC patients.

156 mework of brain IR in further development of personalized medicine strategies to effectively treat MD

157 These findings offer a platform for personalized medicine with the concurrent discovery of f

158 omplexity of clinical research, a demand for personalized medicine, an increasing value of diversity,

159 With the growing emphasis on personalized medicine, cell therapies hold great potenti

160 To achieve the mission of personalized medicine, centering on delivering the right

161 In the current era of personalized medicine, national and international regist

162 ealth status and diseases states, and enable personalized medicine, sensitive and rapid detection of

163 y important therapeutic class, especially in personalized medicine, their development and optimizatio

164 netic architecture and predictive aspects of personalized medicine.

165 ion plays an essential role in precision and personalized medicine.

166 paradigm, for the future of health care and personalized medicine.

167 The zebrafish xenograft assay is ideal for personalized medicine.

168 ithin specific subgroups, guiding the way to personalized medicine.

169 ce have a catalytic impact towards precision/personalized medicine.

170 major challenge to the evolving paradigm of personalized medicine.

171 cer drugs for clinical applications toward a personalized medicine.

172 s the synthesis of high-quality peptides for personalized medicine.

173 ogically coherent subgroups is important for personalized medicine.

174 toward a new generation of tissue models for personalized medicine.

175 elated complications as we move towards more personalized medicine.

176 ion models as tools for drug development and personalized medicine.

177 cy at early stages of drug development or in personalized medicine.

178 y to the development of targeted therapy for personalized medicine.

179 nd the challenges for the imminent future of personalized medicine.

180 c systems biology, laying the foundation for personalized medicine.

181 drug release with different applications in personalized medicine.

182 endency, LHM may also be used in studies for personalized medicine.

183 sed, with an emphasis on their potential for personalized medicine.

184 ening, drug discovery, disease modeling, and personalized medicine.

185 logical disorders, and to the development of personalized medicines for them.

186 Personalized medicines require understanding the molecul

187 type one command in Matlab/Octave to perform personalized metabolic modeling.

188 This showcases how neuroimaging and personalized models can quantify individual-differences

189 n of refractive error and the development of personalized myopia prevention strategies in the future.

190 er therapies, and support the development of personalized nanomedicine in the longer term.

191 rmulation in order to make widespread use of personalized nanoparticle vaccines feasible.

192 t the results of a phase 1B study in which a personalized neoantigen vaccine was combined with progra

193 rst open-label, phase Ib clinical trial of a personalized neoantigen-based vaccine, NEO-PV-01, in com

194 ve useful for other disorders and facilitate personalized neuromodulation therapy.

195 rder to achieve robust biomarkers for use in personalized nutrition.

196 sive precision nutrition recommendations and personalized obesity management.

197 tative modeling and prediction of outcome in personalized oncology.

198 e individual not the "average patient." This personalized or precision approach to health care involv

199 Personalized, or precision, medicine in type 2 diabetes

200 exion/extension of joints, which may benefit personalized orthopedic recuperation.

201 ng network theoretical tools, we can suggest personalized, out-of-the-box ideas by identifying pairs

202 These forecasted values may be useful to personalize patient care by determining the most appropr

203 assign related odour cues to common and yet personalized percepts.

204 trated that HT-DBP could be used to generate personalized pharmacotypes.

205 Different techniques exist to select personalized positive end-expiratory pressure in patient

206 Personalized positive end-expiratory pressure levels sel

207 resentation, an important step for designing personalized, precise treatments.

208 Dentistry has entered an era of personalized/precision care in which targeting care to g

209 hey offer possible clinical perspectives for personalized prediction of the age of a tumor from limit

210 forts should be directed toward refining and personalizing prescribing recommendations.

211 typic, and environmental information for the personalized prescription of energy-restricted diets wit

212 models into a decision algorithm allowed the personalized prescription of the MHP and LF diets.

213 creates a framework for using wearables for personalized prevention.

214 ficient algorithm for the rational design of personalized probiotic cocktails to decolonize pathogens

215 Here we introduce improvements to cancer personalized profiling by deep sequencing (CAPP-Seq)(5),

216 To this end, we harnessed ML to build personalized prognostic models to predict DGF.

217 We tested whether ESBL-PE screening and personalized prophylaxis with ertapenem reduces SSI risk

218 BL-PE carriage before colorectal surgery and personalizing prophylaxis for carriers is efficacious in

219 of gene and/or stress, thereby suggesting a 'personalized', rather than general, subset of histone re

220 have enormous potential to improve care and personalize recommendations for individuals, the hype re

221 medical treatment recommendations, including personalized recommendations, which can deviate from sta

222 molecule counts of the HLA genes based on a personalized reference constructed from the sample's HLA

223 tokines in a tuned spatiotemporal manner for personalized regenerative medicine.

224 vital role in robotics, machine control, and personalized rehabilitation.

225 Shopping feedback comprised a personalized report on the SFA content of grocery purcha

226 infection (LTBI), but validated estimates of personalized risk are lacking.

227 e genetic factors that are currently used in personalized risk assessment of breast cancer.

228 ices and plaque characterization may provide personalized risk assessment, affect disease detection,

229 ct surgeons to perform a useful preoperative personalized risk assessment.

230 patients' knowledge and providing them with personalized risk estimates.

231 redictions through uncertainty estimates and personalized risk factors.

232 Therefore, we developed a personalized risk predictor for incident TB (PERISKOPE-T

233 the use of ML as a viable strategy to enable personalized risk quantification for medical application

234 IUKALL as a continuous variable that assigns personalized risk scores.

235 further risk assessment may result in a more personalized, safer allocation of aspirin in primary pre

236 uction of large bone defects with 3D-printed personalized scaffolds.

237 patients with Barrett's esophagus for a more personalized screening design.

238 al utility and optimal method to communicate personalized screening recommendations that incorporate

239 these findings can eventually translate into personalized spray usage instructions and hence merit a

240 ion of PPGL is being utilized to enable more personalized strategies for investigation, surveillance

241 r for the future of diagnostic subtyping and personalized tailoring of interventions for sleep impair

242 r use in all patients and potentially even a personalized target for each individual patient.

243 ular subtypes, supporting the development of personalized targeted-therapies.

244 (166)Ho scout dose to select patients and yo personalize the administered activity, targeting a mean

245 24)I-trametinib serves as an in vivo tool to personalize the dose instead of using the current single

246 iplinary approach is strongly recommended to personalize the treatment of each patient in an effort t

247 identified before the procedure in order to personalize their post-procedure management.

248 s variation could lead to the development of personalized therapeutic approaches and improve treatmen

249 n phenotype, and emphasize the potential for personalized therapeutic approaches for slowing clinical

250 machine learning algorithms in diagnosis and personalized therapeutics in solid organ transplantation

251 the clinic, there is an increasing push for personalized therapeutics, where plans for medical care

252 y during development and suggest advances in personalized therapeutics.

253 each patient's tumor in real time and select personalized therapies based on these detailed portraits

254 ther demonstrate the utility of GBOs to test personalized therapies by correlating GBO mutational pro

255 de versus antiangiogenics alone, and develop personalized therapies in RCC and other indications.

256 to the development of early diagnostics and personalized therapies.

257 ystem to facilitate preclinical research and personalized therapies.

258 tanding of the disease and the nomination of personalized therapies.

259 all cell lung cancer (NSCLC) are assigned to personalized therapy based on the results of a 28-gene n

260 These initial results support the utility of personalized therapy in amblyopia and may have broader r

261 ealthcare, we hypothesized that an engaging, personalized therapy may improve adherence and treatment

262 produce antigen-specific T cell immunity for personalized therapy of cancer.

263 Predictive biomarkers aid selection of personalized therapy targeted to molecular alterations w

264 ds enables early diagnostics, genotyping and personalized therapy, but is challenged by the low conce

265 and survival make them promising targets for personalized therapy.

266 on medical scans that enables more precise, personalized therapy; however, significant barriers must

267 ted coagulopathy (CAC) and set the stage for personalizing thromboprophylaxis.

268 s a complex disease, and treatment should be personalized to address the underlying pathogenetic mech

269 offer (eg, developing vaccines that are more personalized to different individual factors).

270 rowser supports direct Javascript coding for personalized tracks, providing a whole new level of cust

271 oural interventions: non-cash incentives and personalized travel plans.

272 kidney tumors are imperative to optimize and personalize treatment decision for patients.

273 radiation response, which would help develop personalized treatment and ideally targeted therapies.

274 Personalized treatment decisions decreased early mortali

275 maceuticals in vivo in humans is crucial for personalized treatment management and understanding of t

276 ize bleeding and thrombosis is important for personalized treatment of NOACs.

277 enetic variability is a major confounder for personalized treatment of patients with prostate cancer.

278 approach and offer suggestions toward a more personalized treatment regime that integrates insights i

279 idly predict SaB patient responses and guide personalized treatment regimens could reduce mortality.

280 However, translating genomic data into personalized treatment regimens has been hampered partly

281 Personalized treatment requires established dose thresho

282 daptive treatment strategy (ATS) consists of personalized treatment rules to be applied through the c

283 Designing personalized treatment strategies for AD is challenging,

284 ystems biology approaches, should enable new personalized treatment strategies for primary brain mali

285 Thus, we increasingly use personalized treatment strategies for the recipient of a

286 ves for clinical trials to test genome-based personalized treatment strategies in PSC-BTC.

287 ividual level and could inform the design of personalized treatment strategies that can be tested in

288 influence drug response in order to develop personalized treatment strategies that maximize therapeu

289 ase activity of UC is vital for developing a personalized treatment.

290 cavernomas and provide a road map for their personalized treatment.

291 m of disease thereby improving diagnosis and personalizing treatment.

292 n advancing precision medicine and providing personalized treatments and other types of interventions

293 icrobiome science toward microbiome-targeted personalized treatments for FGIDs.

294 Integrating precision diagnostics into personalized treatments requires understanding how bioma

295 ts in individuals will aid in development of personalized treatments.

296 cation of biomarkers that would allow a more personalized use of PV-based therapies.

297 low not only population-based, but also more personalized vaccination strategies ('precision vaccinat

298 of functional T cell reactivity screens from personalized vaccine studies shows direct evidence of fs

299 a key step in reaching the full potential of personalized vaccines for the treatment of cancer and ot

300 Finally, I suggest that personalized vaccines targeting dormancy-associated neoa

301 ontribute to weight and could be targeted in personalized workplace wellness programs in the future.