ライフサイエンスコーパス: multimodal

1 Seven were multimodal.

2 icable to oncology in which treatment may be multimodal.

3 lPFC synapses and the functional collapse of multimodal 2-AG signaling as a molecular mechanism leadi

4 Multimodal 3D cardiac image fusion is feasible and may h

5 Software facilitating multimodal 3D image fusion was developed.

6 epeating the same procedure, thus leading to multimodal 3D shaping under the same actuation magnetic

7 016 (Imaging Phase), participants received a multimodal 3T brain magnetic resonance imaging (MRI) sca

8 In the largest multimodal 7 tesla machine learning study to date, we ov

9 ry signals can be transformed into a global, multimodal, abstract representation of space.

10 Here we present the multimodal acoustic trap display (MATD): a levitating vo

11 Bioprospecting for seaweed-derived multimodal acting products have earned increasing attent

12 We show how this strategy facilitates multimodal actuation of the multicell assemblies, in whi

13 approach when feasible, pre-/intra-operative multimodal analgesia, postoperative multimodal analgesia

14 perative multimodal analgesia, postoperative multimodal analgesia, postoperative nausea and vomiting

15 ging (DWI) limit the evaluation of voxelwise multimodal analyses.

16 Herein, we realize a kind of single-cell multimodal analytical approach by combining single-cell

17 Therefore, we believe the multimodal analytical approach offers an access to compr

18 The results highlight the value of using a multimodal analytical approach to reveal determinants an

19 The results enable the development of a multimodal and multidisciplinary strategy to create an o

20 asmonic Fano resonance transitions providing multimodal and multiplex sensing of small biotargets, su

21 Integrating multimodal and multiplexing capabilities into minimally

22 With this multimodal and multiterritorial approach, the authors de

23 n battery particles through single-particle, multimodal, and in situ synchrotron measurements.

24 Vortioxetine is a multimodal antidepressant approved for treatment of majo

25 mplex virus infection, for which diverse and multimodal antiviral agents are needed to prevent drug r

26 The multimodal approach combines X-ray fluorescence and X-ra

27 Here, using a data-driven, multimodal approach for studying brain structure across

28 This multimodal approach identified a patchy pattern of atrop

29 Using a multimodal approach in humans, here we show that activit

30 This multimodal approach is increasingly recognized as offeri

31 tation, and treatment is most effective if a multimodal approach is used.

32 We present the feasibility of a multimodal approach, combining electrophysiology and bro

33 We recently introduced a multimodal approach, REACT (Receptor-Enriched Analysis o

34 best treatment strategy probably involves a multimodal approach.

35 Salient features of nuclear, optical, and multimodal approaches will be discussed, including their

36 Recapitulation of such multimodal aquatic locomotion in small-scale soft robots

37 gradients differentiating sensory-motor and multimodal areas.

38 Such a multimodal assembly platform provides an explanation for

39 processing, and an 'intermediate' cluster of multimodal association areas.

40 ch as the vagus nerve (VN) which is the main multimodal autonomic nerve that provides a major communi

41 DR thus requires deep exploration of a multimodal biological network in an integrative context.

42 and lipidomics, as well as investigations of multimodal biomarker combinations across fluids, brain i

43 roup design, we utilized an ultra-high field multimodal brain imaging approach and demonstrated that

44 f subject variability, from 21,407 subjects' multimodal brain imaging data in UK Biobank.

45 In this retrospective study, multimodal brain MRI scans from 212 patients (mean age,

46 Subjects also underwent multimodal brain MRI.

47 we employ sparse representation to integrate multimodal brain network information derived from both t

48 Here, we propose a novel multimodal brain network modeling framework and a networ

49 R], 55-73 years; 76 men) included within the Multimodal Brain Tumor Image Segmentation (BraTS) datase

50 The 2018 Multimodal Brain Tumor Segmentation Challenge (BraTS) da

51 rmance, we apply the proposed methods to the Multimodal Brain Tumor Segmentation Challenge 2019 (BraT

52 Here, we present an integrated set of multimodal brain-behavior relationships derived from fMR

53 nd microfluidic neural interfaces, some with multimodal capabilities.

54 rterial blood pressure calculated by bedside multimodal cerebral autoregulation monitoring using near

55 s materials at the nanoscale for correlative multimodal characterizations.

56 Multimodal chemical or photochemical oxidative switching

57 Resistance to multimodal chemotherapy continues to limit the prognosis

58 d nucleus accumbens (NAc) of mice exposed to multimodal chronic restraint stress.

59 edial prefrontal cortex-posteromedial cortex multimodal classifier had a significant predictive value

60 repulsive chemosensory cues, characterizing multimodal coding for these stimuli.

61 periments, we propose a model in which weak, multimodal collagen I-beta(2)m interactions promote exch

62 n brain connectivity from the perspective of multimodal connectome.

63 Treatment is generally multimodal, consisting of surgery followed by chemoradio

64 affecting the ascending auditory pathway and multimodal cortex, depletion of cognitive reserve due to

65 lighting these regions as potential hubs for multimodal cortical influence.

66 he replication sample, which was superior to multimodal cranial computed tomography (CT; AUC = 0.80)

67 ns of multimodal data may not be obvious and multimodal data collection can be medically contraindica

68 ro or low read counts ('dropout' events) and multimodal data distributions.

69 redundant, useful common representations of multimodal data may not be obvious and multimodal data c

70 Statistical methods that can integrate such multimodal data, however, are often vulnerable to overfi

71 Our multimodal data-driven approach is a useful way to detan

72 representation of the mind to multivariate, multimodal data.

73 ch was to collect a novel, naturalistic, and multimodal dataset of eye + head movements when subjects

74 her demonstrate multilocation decoupling and multimodal deformation decoupling through a stretchable

75 innovative strategy for the construction of multimodal degradable hydrogels, which can be utilized t

76 in the cross-reactive sensor matrix exhibits multimodal detection of strain, flexion, pressure, and t

77 Conclusion: Multimodal detection using FERM yields robust whole-body

78 ailable for testing, and the importance of a multimodal diagnostic approach involving regular and rep

79 Multimodal diagnostic models were developed using cytolo

80 This multimodal, distributed short-term food memory provides

81 limited, however, and comes mostly from the multimodal distribution of structural aspects of vegetat

82 , handling missing data through a resilient, multimodal dropout method.

83 It is conjectured that a novel multimodal ensemble approach may improve the accuracy of

84 al dynamics of encoding processes supporting multimodal event representations.

85 By testing memory for multimodal events, our findings show a functional dissoc

86 Multimodal evidence suggests that brain regions accumula

87 Using a multimodal experimental approach combining neuroimaging

88 gene set enrichment approaches for detecting multimodal expression signatures.

89 oring (log-rank p < 0.0001), suggesting that multimodal features were able to capture important knowl

90 Relative to exercise training alone, the multimodal fitness and nutritional intervention further

91 The multimodal fMRI combining concurrent calcium recordings

92 We have proposed a multimodal framework that integrates structural and func

93 s study, we developed and compared different multimodal fusion model architectures that are capable o

94 d unbiased methods for feature selection and multimodal fusion, 3) greater emphasis on algorithms' ab

95 Here, we present a multimodal hot-spot imaging approach using an innovative

96 n data were integrated with IMS data through multimodal image processing with advanced registration t

97 All patients had multimodal imaging (fundus photography, fluorescein angi

98 A new health care pathway entailing multimodal imaging (spectral-domain OCT for DME, and 7-f

99 Compared with standard histology, multimodal imaging allowed additional keratocyte feature

100 Our augmented multimodal imaging analysis can deliver novel insights i

101 it presence and progression were assessed by multimodal imaging and a 3-stage grading system based on

102 The multimodal imaging and NIR-triggered drug release capabi

103 s were subdivided into 3 categories based on multimodal imaging and ocular history: retinal pigment e

104 The multimodal imaging approach enabled in situ high-confide

105 nvading U251 glioma cells as observed by our multimodal imaging approach, our studies suggest that ef

106 ular 3D tissue spheroids was studied using a multimodal imaging approach.

107 Coherence Tomography Angiography (OCTA) in a multimodal imaging approach.

108 Multimodal imaging approaches confirm the release of enc

109 All participants underwent a complete multimodal imaging assessment with a confocal scanning l

110 Multimodal imaging based on molecular imaging technologi

111 Multimodal imaging correlation suggests that these conce

112 illustrated established and investigational multimodal imaging features and associated histologic fe

113 inal cystoid spaces displayed characteristic multimodal imaging features and they may represent 2 dif

114 sus on terms and descriptions was reached on multimodal imaging features associated GA and with risk

115 up of experts analyzed and discussed retinal multimodal imaging features in eyes with AMD associated

116 The observed corneal multimodal imaging features in mucopolysaccharidosis-rel

117 The clinical data and multimodal imaging features of 39 patients (49 eyes) sho

118 characteristics, including demographics and multimodal imaging features, by observers masked to the

119 h an inflammatory CNV based on the following multimodal imaging findings: a type 2 lesion with the "p

120 Multimodal imaging helped to demonstrate the nature of t

121 To report the results of multimodal imaging in a case of a congenital retinal mac

122 This study demonstrates the utility of novel multimodal imaging in the daily management of patients w

123 By utilising multimodal imaging in this established model of OSA, a d

124 This multimodal imaging is enabled by a newly designed orthog

125 Multimodal imaging is useful in corroborating a diagnosi

126 MRI and MPI have been combined as a dual or multimodal imaging method to enhance the signal in the b

127 experts analyzed and discussed longitudinal multimodal imaging of eyes with AMD.

128 RM) was developed to serve as a platform for multimodal imaging probe development.

129 Secondary outcomes were multimodal imaging results.

130 present the implementation of an integrated multimodal imaging setup enabling the assessment of mult

131 Multimodal imaging showed that these 4 lesions were IRMA

132 Clinical examination can be augmented with multimodal imaging techniques, including widefield imagi

133 As sensitive multifunctional and multimodal imaging tracers, carbon-coated FeCo nanoparti

134 Multimodal imaging was also conducted to identify the ne

135 Multimodal imaging was considered the reference standard

136 Multimodal imaging was only significant for correspondin

137 Multimodal imaging was performed and are elaborately des

138 Progressive multimodal imaging was performed on both eyes.

139 Multimodal imaging was performed using standardized prot

140 jugular veins that combines high-resolution, multimodal imaging with functional readouts in vivo.

141 Multimodal imaging with photoacoustic microscopy (PAM) a

142 Multimodal imaging with SD OCT and IR has significantly

143 We aimed to confront the results of multimodal imaging with those of histology in a case of

144 Multimodal imaging, electrophysiology, and IHC were perf

145 changes during treatment were assessed using multimodal imaging, including hybrid PET/MRI and SPECT/C

146 Multimodal imaging, including spectral-domain (SD) OCT a

147 derwent complete ophthalmic examination with multimodal imaging, including SS-OCT with SS-OCTA (PLEX

148 py, photothermal and radiation therapy (RT), multimodal imaging, theranostics, drug delivery, biosens

149 Using multimodal imaging, we tested the hypothesis by quantify

150 These multimodal imaging-behavioral findings reveal the comple

151 type 2 MNV lesions were categorized based on multimodal imaging.

152 he key diagnostic features of JRCH seen with multimodal imaging.

153 alyzing neural correlates of confidence with multimodal imaging.

154 ium-drusen complex (RPEDC), were assessed by multimodal imaging.

155 with experiments, the simulations should be multimodal in the sense that they should predict not onl

156 In the present work, we utilize multimodal, in situ, mass spectrometry, and immunofluore

157 e the use of reliable MNA measures, focus on multimodal individualized therapy for enriched nonadhere

158 The potential of using multidimensional and multimodal information collected from single cells to bu

159 oteins that could be effectively targeted by multimodal inhibitors.

160 In response to altered multimodal input, reciprocal inhibition was strengthened

161 d before and after manipulating their common multimodal input.

162 s unique Alzheimer's disease signatures from multimodal inputs of MRI, age, gender, and Mini-Mental S

163 Performance of the model that used the multimodal inputs was consistent across datasets, with m

164 Through multimodal integrated analysis, we define 28 met-types t

165 raniopagus twins, this multidisciplinary and multimodal integrated imaging approach highlights the ke

166 We introduce the modern view of the CB as a multimodal integrated metabolic sensor and describe the

167 in neurophysiological assessment methods and multimodal integration of neurophysiological data with o

168 histological changes of stroke through this multimodal integration.

169 Applying multimodal intersection analysis to primary pancreatic t

170 ct tissue regions, we introduce a method for multimodal intersection analysis.

171 irmen (n = 148) to compare the efficacy of a multimodal intervention comprised of high-intensity inte

172 These findings establish the efficacy of a multimodal intervention that incorporates aerobic fitnes

173 This multimodal intervention yielded no substantial improveme

174 nd makes recommendations for peak picking in multimodal ion chromatograms.

175 skin-like multimodal receptor array, called multimodal ion-electronic skin (IE(M)-skin), provides re

176 We present a deformable artificial multimodal ionic receptor that can differentiate thermal

177 To close it, we developed a multimodal laser spectrometer (MLS) to enable the simult

178 The proposed framework, hence, enables multimodal learning for a wide range of biomarkers from

179 ergetics, RNA therapeutics and complementary multimodal lifestyle changes.

180 overall survival prediction using structural multimodal magnetic resonance images (mMRI).

181 ical morphology captured by high-resolution, multimodal magnetic resonance imaging (MRI) in n = 292 h

182 ceptor architectonical analysis to provide a multimodal map of the macaque IPS.

183 ly added modules deal with ETD/ECD analysis, multimodal mass spectra analysis, and presentation optio

184 tion of molecular heterogeneities of matter, multimodal mass spectrometry imaging must be developed t

185 urther development of instruments capable of multimodal measurements, is necessary to reveal complex

186 advanced multivariate analysis methods to a multimodal MEG/EEG dataset.

187 e present study, the authors applied a novel multimodal meta-analytic approach to test the hypothesis

188 sensitivity and specificity of the proposed multimodal method.

189 The new multimodal microneedle sensor array relies on unmodified

190 might be essential to optimally disambiguate multimodal mnemonic representations.

191 Here, we propose a multimodal model to robustly combine MEG, MRI and fMRI f

192 ogeneity revealed by each measure suggests a multimodal molecular imaging approach can improve tumor

193 Novel multimodal molecular imaging techniques reveal the poten

194 dex, derived from near-infrared spectroscopy multimodal monitoring, was used to evaluate cerebral aut

195 Using drumming as a demanding multimodal motor training, we compared cerebellar lobula

196 Multimodal MR radiomics can demonstrate distinct charact

197 Multimodal MRI biomarkers of frontoparietal disconnectio

198 Multimodal MRI in vivo indicates cortico-striatal and th

199 f our knowledge, this is the first report of multimodal MRI probe and chemo-thermotherapeutic magneti

200 tched control subjects without diabetes in a multimodal MRI protocol providing macrostructural metric

201 c arrest) coma patients by using an original multimodal MRI protocol.

202 of routine clinically acquired preoperative multimodal MRI scans.

203 Here, multimodal MSI techniques were employed to characterize

204 In this study, we present a novel multimodal multiphoton approach for quantifying hemoglob

205 We address this by multimodal network analyses integrating functional and m

206 The M2R-betaarr1 complex displays a multimodal network of flexible interactions, including b

207 neuronal heterogeneity is transformed into a multimodal neural unit to provide virtually infinite ada

208 We used multimodal neuroimaging [T1-weighted magnetic resonance

209 s as predictive features, (2) combination of multimodal neuroimaging and (3) type of machine learning

210 oupling of the two systems through combining multimodal neuroimaging data (diffusion magnetic resonan

211 Multimodal neuroimaging data from two independent cohort

212 uding clinical phenomenology, neurogenetics, multimodal neuroimaging, neurophysiology, and neuromodul

213 without abdominal sepsis were analyzed using multimodal nonlinear microscopy, immunofluorescence, imm

214 Single-cell multimodal omics (scMulti-omics) technologies have made

215 to both of these goals, with an emphasis on multimodal operation, miniaturized dimensions, biocompat

216 th articulatory, phonological, semantic, and multimodal orthography-to-phonology processes, in HCs.

217 The forecasting models used multimodal patient information including clinical (age a

218 plug-and-play platform for the processing of multimodal patient-centric data.

219 riority trial to investigate if intravenous, multimodal, patient-controlled analgesia (IV-PCA) could

220 Particularly, the multimodal perception ability is achieved by utilizing a

221 xpectation and oculomotor behavior reveals a multimodal perception action coupling, which has a centr

222 ing human skin sensation such as spontaneous multimodal perception and identification/discrimination

223 In the 12 patients, the coregistration of multimodal PET/MRI tumor data was improved by using the

224 Consequences on multimodal PET/MRI voxelwise lung tumor analyses were ev

225 g in correcting DWI geometric distortion for multimodal PET/MRI voxelwise lung tumor analyses.

226 ement method for improved diffusion-weighted multimodal PET/MRI voxelwise-matched analyses in lung ca

227 ogether, these results show that thirst is a multimodal physiological state, and that different thirs

228 This multimodal platform allowed us to identify a global brai

229 A biomimetic multimodal platform that replicates surgical insertion i

230 icles that are spontaneously segregated into multimodal populations with differentiated enzyme activi

231 These membranes have a multimodal porous network structure with tunable surface

232 dings elucidate structural insights into the multimodal, potent antiviral activity of GS-6207 and pro

233 Multimodal pre-procedural staging identified 47 patients

234 inference may help prioritize strategies for multimodal prevention in psychiatry.

235 The implementation of this multimodal preventive strategy should be considered in c

236 addition to the complex organization of the multimodal processing centers, especially chemomechanose

237 al the cartwheel cell's role in auditory and multimodal processing, as well as illustrated the balanc

238 nditions in which a structurally diverse and multimodal protocadherin-15 ectodomain can act as a stif

239 operties of the engineered nanostars enabled multimodal quantitative imaging combining advantageous f

240 of the RCM-only model can be improved via a multimodal (RCM + dermoscopy) approach, which can help q

241 The human skin-like multimodal receptor array, called multimodal ion-electro

242 of primary endpoints in phase 2 and phase 3 multimodal rectal cancer trials, resulting in inconsiste

243 Then, using multimodal reference data, we parcellated the entire bra

244 rom surgery and radiotherapy to contemporary multimodal regimens.

245 ated with aberrant structure and function in multimodal regions of cortex implicated in the processin

246 Factors associated with multimodal relapse therapy were larger node size (odds r

247 Multimodal representations combining sensory and movemen

248 trial, 244 women (45-65 y) participated in a multimodal resistance-type exercise program 3 d/wk, with

249 Clinical course and multimodal retinal imaging including color photographs,

250 We conducted multimodal retinal imaging, full-field electroretinograp

251 Clinical evaluation, multimodal retinal imaging, genetic testing, and molecul

252 e choroideremia patients (79 eyes) underwent multimodal retinal imaging, including near-infrared fund

253 Multimodal retinal imaging, including structural optical

254 Noninvasive multimodal retinal imaging, including ultra-widefield fu

255 ions warrant continued close monitoring with multimodal retinal imaging.

256 esting, electrophysiologic examinations, and multimodal retinal imaging.

257 tely detect low analyte concentrations, lack multimodal sensing or are difficult to fabricate at larg

258 easible pathways towards multifunctional and multimodal sensor platforms.

259 with common protocols for the application of multimodal sensor technology will facilitate our ability

260 These findings suggest that the parietal multimodal sensory association region could have an aber

261 ient receptor potential (TRP) A1 but, unlike multimodal sensory neurons, are inert to hyperoxia and o

262 Mechanistically, mutant PIK3CA drives a multimodal signaling network involving mTORC2-PKCzeta-me

263 Applying multimodal single-cell analyses, we elucidated a heterog

264 Multimodal single-cell assays provide high-resolution sn

265 To enable such temporal analysis from multimodal single-cell experiments, we introduce an exte

266 e examine emerging strategies that integrate multimodal single-cell platforms, focusing on future app

267 Deletions have a multimodal size distribution, assort unevenly across tum

268 Tandem duplications also have a multimodal size distribution, but are enriched in early-

269 e discrimination of each stimulus in various multimodal stimuli environments is possible.

270 Delirium may be prevented or attenuated when multimodal strategies are used, thereby improving patien

271 Multimodal strategies combining MRI with complementary a

272 We used multimodal structural magnetic resonance imaging (voxel-

273 We have taken advantage of multimodal techniques to classify subicular cells in dis

274 coma suspect, and glaucoma participants from multimodal temporal data.

275 xclusive psychological treatment rather than multimodal therapies, substantially limiting rehabilitat

276 ) patients including 255 patients undergoing multimodal therapy (surgery with chemotherapy, radiation

277 Despite intensive multimodal therapy (surgery, chemotherapy and, if age pe

278 their utilization in photomedicine, that is, multimodal therapy for cancer (e.g., PDT, PTT) and antim

279 radiotherapy is becoming a key component of multimodal therapy for many stages of prostate cancer, p

280 Children with chest wall sarcoma require multimodal therapy including chemotherapy, surgery and/o

281 ed therapy, in the current era of sequential multimodal therapy incorporating novel treatments.

282 to explore factors associated with need for multimodal therapy on AS relapse.

283 Pioneered by the Mayo Clinic, multimodal therapy with neoadjuvant chemoradiotherapy an

284 d analgesia (IV-PCA) could be noninferior to multimodal thoracic epidural analgesia (TEA) in patients

285 mple, flying insects have evolved in complex multimodal three-dimensional (3D) environments, but we d

286 ulfonate (PEDOT:PSS), is characterized using multimodal time-resolved operando techniques.

287 and Gilead et al.'s hierarchy from iconic to multimodal to fully abstract, socially communicated repr

288 These multimodal tools can inform clinical research through id

289 A wide knowledge of the expected findings of multimodal treatment and its complications is essential

290 Single or multimodal treatment resulted in an overall complication

291 Multimodal treatment, including surgery and traditional

292 and mouth opening in HNC patients undergoing multimodal treatment.

293 llowing exercises in HNC patients undergoing multimodal treatment.

294 t and after surgery in patients eligible for multimodal treatment.

295 prognosis (10-12 months) despite all current multimodal treatments.

296 tion-state-encoding neurons, together with a multimodal trigger network that is associated with state

297 Active control of higher-order anapoles and multimodal tuning are also investigated, which make the

298 ings illustrate the value of a comprehensive multimodal view of ultrastructural variability across wh

299 Multimodal warning displays often pair one signal modali

300 dator foraging behavior and the functions of multimodal warning displays.