keyword
https://read.qxmd.com/read/38495563/a-learnable-prior-improves-inverse-tumor-growth-modeling
#21
Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard Feiner, Laurin Lux, Florian Kofler, Jana Lipkova, Jonas Latz, Daniel Rueckert, Bjoern Menze, Benedikt Wiestler
Biophysical modeling, particularly involving partial differential equations (PDEs), offers significant potential for tailoring disease treatment protocols to individual patients. However, the inverse problem-solving aspect of these models presents a substantial challenge, either due to the high computational requirements of model-based approaches or the limited robustness of deep learning (DL) methods. We propose a novel framework that leverages the unique strengths of both approaches in a synergistic manner...
March 7, 2024: ArXiv
https://read.qxmd.com/read/38494524/prediction-of-compressive-strength-of-concrete-based-on-improved-artificial-bee-colony-multilayer-perceptron-algorithm
#22
JOURNAL ARTICLE
Ping Li, Yanru Zhang, Jiming Gu, Shiwei Duan
There are many factors that affect the compressive strength of concrete. The relationship between compressive strength and these factors is a complex nonlinear problem. Empirical formulas commonly used to predict the compressive strength of concrete are based on summarizing experimental data of several different mix proportions and curing periods, and their generality is poor. This article proposes an improved artificial bee colony algorithm (IABC) and a multilayer perceptron (MLP) coupled model for predicting the compressive strength of concrete...
March 17, 2024: Scientific Reports
https://read.qxmd.com/read/38494505/predicting-health-outcomes-with-intensive-longitudinal-data-collected-by-mobile-health-devices-a-functional-principal-component-regression-approach
#23
JOURNAL ARTICLE
Qing Yang, Meilin Jiang, Cai Li, Sheng Luo, Matthew J Crowley, Ryan J Shaw
BACKGROUND: Intensive longitudinal data (ILD) collected in near real time by mobile health devices provide a new opportunity for monitoring chronic diseases, early disease risk prediction, and disease prevention in health research. Functional data analysis, specifically functional principal component analysis, has great potential to abstract trends in ILD but has not been used extensively in mobile health research. OBJECTIVE: To introduce functional principal component analysis (fPCA) and demonstrate its potential applicability in estimating trends in ILD collected by mobile heath devices, assessing longitudinal association between ILD and health outcomes, and predicting health outcomes...
March 17, 2024: BMC Medical Research Methodology
https://read.qxmd.com/read/38493695/bulk-and-single-cell-rna-sequencing-analysis-with-101-machine-learning-combinations-reveal-neutrophil-extracellular-trap-involvement-in-hepatic-ischemia-reperfusion-injury-and-early-allograft-dysfunction
#24
JOURNAL ARTICLE
Manling Xie, Zhen He, Bing Bin, Ning Wen, Jihua Wu, Xiaoyong Cai, Xuyong Sun
BACKGROUND: Hepatic ischaemia-reperfusion injury (HIRI) is a major clinical concern during the perioperative period and is closely associated with early allograft dysfunction (EAD), acute rejection (AR) and long-term graft survival. Neutrophil extracellular traps (NETs) are extracellular structures formed by the release of decondensed chromatin and granular proteins following neutrophil stimulation. There is growing evidence that NETs are involved in the progression of various liver transplantation complications, including ischaemia-reperfusion injury (IRI)...
March 16, 2024: International Immunopharmacology
https://read.qxmd.com/read/38493693/designing-a-predictive-framework-immune-related-gene-based-nomogram-and-prognostic-model-for-kidney-renal-papillary-cell-carcinoma
#25
JOURNAL ARTICLE
Adrian Lim, Mouad Edderkaoui, Yi Zhang, Qiang Wang, Ruoxiang Wang, Stephen J Pandol, Yan Ou
BACKGROUND: Kidney renal papillary cell carcinoma (KIRP) is frequently associated with an unfavorable prognosis for affected individuals. Unfortunately, there has been insufficient exploration in search for a reliable prognosis signature and predictive indicators to forecast outcomes for KIRP patients. AIM: The aim of this study is to employ a comprehensive analysis of data for the identification of prognosis genes, leading to the development of a nomogram with strong predictive capabilities...
March 16, 2024: International Immunopharmacology
https://read.qxmd.com/read/38493247/a-new-model-using-deep-learning-to-predict-recurrence-after-surgical-resection-of-lung-adenocarcinoma
#26
JOURNAL ARTICLE
Pil-Jong Kim, Hee Sang Hwang, Gyuheon Choi, Hyun-Jung Sung, Bokyung Ahn, Ji-Su Uh, Shinkyo Yoon, Deokhoon Kim, Sung-Min Chun, Se Jin Jang, Heounjeong Go
This study aimed to develop a deep learning (DL) model for predicting the recurrence risk of lung adenocarcinoma (LUAD) based on its histopathological features. Clinicopathological data and whole slide images from 164 LUAD cases were collected and used to train DL models with an ImageNet pre-trained efficientnet-b2 architecture, densenet201, and resnet152. The models were trained to classify each image patch into high-risk or low-risk groups, and the case-level result was determined by multiple instance learning with final FC layer's features from a model from all patches...
March 16, 2024: Scientific Reports
https://read.qxmd.com/read/38493195/ultrasound-induced-reorientation-for-multi-angle-optical-coherence-tomography
#27
JOURNAL ARTICLE
Mia Kvåle Løvmo, Shiyu Deng, Simon Moser, Rainer Leitgeb, Wolfgang Drexler, Monika Ritsch-Marte
Organoid and spheroid technology provide valuable insights into developmental biology and oncology. Optical coherence tomography (OCT) is a label-free technique that has emerged as an excellent tool for monitoring the structure and function of these samples. However, mature organoids are often too opaque for OCT. Access to multi-angle views is highly desirable to overcome this limitation, preferably with non-contact sample handling. To fulfil these requirements, we present an ultrasound-induced reorientation method for multi-angle-OCT, which employs a 3D-printed acoustic trap inserted into an OCT imaging system, to levitate and reorient zebrafish larvae and tumor spheroids in a controlled and reproducible manner...
March 16, 2024: Nature Communications
https://read.qxmd.com/read/38493140/optimization-of-the-selection-of-suitable-harvesting-periods-for-medicinal-plants-taking-dendrobium-officinale-as-an-example
#28
JOURNAL ARTICLE
Peiyuan Li, Tao Shen, Li Li, Yuanzhong Wang
BACKGROUND: Dendrobium officinale is a medicinal plant with high commercial value. The Dendrobium officinale market in Yunnan is affected by the standardization of medicinal material quality control and the increase in market demand, mainly due to the inappropriate harvest time, which puts it under increasing resource pressure. In this study, considering the high polysaccharide content of Dendrobium leaves and its contribution to today's medical industry, (Fourier Transform Infrared Spectrometer) FTIR combined with chemometrics was used to combine the yields of both stem and leaf parts of Dendrobium officinale to identify the different harvesting periods and to predict the dry matter content for the selection of the optimal harvesting period...
March 16, 2024: Plant Methods
https://read.qxmd.com/read/38493050/mini-bones-miniaturized-bone-in-vitro-models
#29
REVIEW
Maria Gabriella Fois, Martijn van Griensven, Stefan Giselbrecht, Pamela Habibović, Roman K Truckenmüller, Zeinab Niloofar Tahmasebi Birgani
In bone tissue engineering (TE) and regeneration, miniaturized, (sub)millimeter-sized bone models have become a popular trend since they bring about physiological biomimicry, precise orchestration of concurrent stimuli, and compatibility with high-throughput setups and high-content imaging. They also allow efficient use of cells, reagents, materials, and energy. In this review, we describe the state of the art of miniaturized in vitro bone models, or 'mini-bones', describing these models based on their characteristics of (multi)cellularity and engineered extracellular matrix (ECM), and elaborating on miniaturization approaches and fabrication techniques...
March 15, 2024: Trends in Biotechnology
https://read.qxmd.com/read/38492587/predicting-natural-arsenic-enrichment-in-peat-bearing-alluvial-and-coastal-depositional-systems-a-generalized-model-based-on-sequence-stratigraphy
#30
JOURNAL ARTICLE
Alessandro Amorosi, Irene Sammartino
Hazardously high concentrations of arsenic exceeding the threshold limits for soils and drinking waters have been widely reported from Quaternary sedimentary successions and shallow aquifers of alluvial and coastal lowlands worldwide, raising public health concerns due to potential human exposure to arsenic. A combined sedimentological and geochemical analysis of subsurface deposits, 2.5-50 m deep, from the SE Po Plain (Italy) documents a systematic tendency for naturally-occurring arsenic to accumulate in peat-rich layers, with concentrations invariably greater than maximum permissible levels...
March 14, 2024: Science of the Total Environment
https://read.qxmd.com/read/38492499/exploring-the-role-of-disulfidptosis-related-signatures-in-immune-microenvironment-prognosis-and-therapeutic-strategies-of-cervical-cancer
#31
JOURNAL ARTICLE
Tianzhe Jin, Taotao Yin, Ruiyi Xu, Hong Liu, Shuo Yuan, Yite Xue, Jianwei Zhang, Hui Wang
BACKGROUND: Cervical cancer is characterized by a complex immunosuppressive tumor microenvironment (TME). Disulfidptosis is a recently identified form of programmed cell death that has emerged as a crucial factor in tumorigenesis. However, the research on the specific involvement of disulfidptosis within the TME is still in its early stages. METHODS: Under glucose starvation, SiHa and HeLa cells underwent experiments employing diverse cell death inhibitors and SLC7A11 knockdown to observe their impact on cell survival...
March 14, 2024: Translational Oncology
https://read.qxmd.com/read/38492277/estimation-of-the-in-plane-ultimate-stress-of-lamellar-tissue-as-a-function-of-bone-mineral-density-and-osteocyte-lacunae-porosity
#32
JOURNAL ARTICLE
Ana Vercher-Martínez, Raquel Megías, Ricardo Belda, Pablo Vargas, Eugenio Giner
BACKGROUND AND OBJECTIVE: Detailed finite element models based on medical images (μ-CT) are commonly used to analyze the mechanical behavior of bone at microscale. In order to simulate the tissue failure onset, isotropic failure criteria of lamellar tissue are often used, despite its non-isotropic and heterogeneous nature. The main goal of the present work is to estimate the in-plane ultimate stress of lamellar bone, considering the influence of mineral content and the porosity due to the osteocyte lacunae concentration...
March 13, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38492199/prognostic-model-for-relapsed-refractory-transplant-ineligible-diffuse-large-b-cell-lymphoma-utilizing-the-lymphocyte-to-monocyte-ratio
#33
JOURNAL ARTICLE
Daisuke Ide, Takahiro Fujino, Tsutomu Kobayashi, Aya Egashira, Akihiro Miyashita, Kentaro Mizuhara, Reiko Isa, Taku Tsukamoto, Shinsuke Mizutani, Hitoji Uchiyama, Hiroto Kaneko, Nobuhiko Uoshima, Eri Kawata, Masafumi Taniwaki, Yuji Shimura, Junya Kuroda
We conducted a multi-institutional retrospective study in 100 transplant-ineligible (TI) patients with diffuse large B-cell lymphoma (DLBCL) that relapsed or progressed after first-line R-CHOP (or -like) therapy to develop a robust predictive model for TI relapsed/refractory (r/r) DLBCL, which has a heterogeneous but poor prognosis by currently available treatment modalities other than chimeric antigen receptor T-cell (CAR-T) therapy or bispecific antibodies. The median age at relapse or progression was 76 years...
March 16, 2024: International Journal of Hematology
https://read.qxmd.com/read/38492096/diffusion-weighted-imaging-based-radiomics-model-using-automatic-machine-learning-to-differentiate-cerebral-cystic-metastases-from-brain-abscesses
#34
JOURNAL ARTICLE
Linyang Cui, Zheng Qin, Siyuan Sun, Weihua Feng, Mingyuan Hou, Dexin Yu
OBJECTIVES: To develop a radiomics model based on diffusion-weighted imaging (DWI) utilizing automated machine learning method to differentiate cerebral cystic metastases from brain abscesses. MATERIALS AND METHODS: A total of 186 patients with cerebral cystic metastases (n = 98) and brain abscesses (n = 88) from two clinical institutions were retrospectively included. The datasets (129 from institution A) were randomly portioned into separate 75% training and 25% internal testing sets...
March 16, 2024: Journal of Cancer Research and Clinical Oncology
https://read.qxmd.com/read/38491955/modification-of-brain-conductivity-in-human-focal-epilepsy-a-model-based-estimation-from-stereoelectroencephalography
#35
JOURNAL ARTICLE
Stanislas Lagarde, Julien Modolo, Maxime Yochum, Andres Carvallo, Alice Ballabeni, Didier Scavarda, Romain Carron, Nathalie Villeneuve, Fabrice Bartolomei, Fabrice Wendling
OBJECTIVE: We have developed a novel method for estimating brain tissue electrical conductivity using low-intensity pulse stereoelectroencephalography (SEEG) stimulation coupled with biophysical modeling. We evaluated the hypothesis that brain conductivity is correlated with the degree of epileptogenicity in patients with drug-resistant focal epilepsy. METHODS: We used bipolar low-intensity biphasic pulse stimulation (.2 mA) followed by a postprocessing pipeline for estimating brain conductivity...
March 16, 2024: Epilepsia
https://read.qxmd.com/read/38491883/the-effect-of-the-neuman-systems-model-based-training-and-follow-up-on-self-efficacy-and-symptom-control-in-patients-undergoing-chemotherapy
#36
JOURNAL ARTICLE
Gül Dural, Seyhan Çitlik Saritaş
In this article, the authors aimed to determine the effect of the training and follow-up based on the Neuman systems model provided to patients undergoing chemotherapy on their self-efficacy and symptom control. The study was carried out with a randomized controlled experimental study model design. The sample consisted of 102 patients including 52 in the experimental group and 50 in the control group. The data were collected using the Patient Information Form, the Cancer Behavior Inventory-Brief (CBI-B), and the Edmonton Symptom Assessment Scale (ESAS)...
April 2024: Nursing Science Quarterly
https://read.qxmd.com/read/38491804/construction-and-validation-of-machine-learning-models-for-predicting-distant-metastases-in-newly-diagnosed-colorectal-cancer-patients-a-large-scale-and-real-world-cohort-study
#37
JOURNAL ARTICLE
Ran Wei, Guanhua Yu, Xishan Wang, Zheng Jiang, Xu Guan
BACKGROUND: More accurate prediction of distant metastases (DM) in patients with colorectal cancer (CRC) would optimize individualized treatment and follow-up strategies. Multiple prediction models based on machine learning have been developed to assess the likelihood of developing DM. METHODS: Clinicopathological features of patients with CRC were obtained from the National Cancer Center (NCC, China) and the Surveillance, Epidemiology, and End Results (SEER) database...
March 2024: Cancer Medicine
https://read.qxmd.com/read/38491768/influence-of-talar-and-calcaneal-morphology-on-subtalar-kinematics-during-walking
#38
JOURNAL ARTICLE
Tetsuya Yamamoto, Paige Paulus, Joshua C Setliff, MaCalus V Hogan, William J Anderst
BACKGROUND: Cadaver biomechanical testing suggests that the morphology of articulating bones contributes to the stability of the joints and determines their kinematics; however, there are no studies examining the correlation between bone morphology and kinematics of the subtalar joint. The purpose of this study was to investigate the influence of talar and calcaneal morphology on subtalar kinematics during walking in healthy individuals. METHODS: Forty ankles (20 healthy subjects, 10 women/10 men) were included...
March 15, 2024: Foot & Ankle International
https://read.qxmd.com/read/38491628/atom-doped-photon-engine-extracting-mechanical-work-from-a-quantum-system-via-radiation-pressure
#39
JOURNAL ARTICLE
Álvaro Tejero, Daniel Manzano, Pablo I Hurtado
The possibility of efficiently converting heat into work at the microscale has triggered an intense research effort to understand quantum heat engines, driven by the hope of quantum superiority over classical counterparts. In this work, we introduce a model featuring an atom-doped optical quantum cavity propelling a classical piston through radiation pressure. The model, based on the Jaynes-Cummings Hamiltonian of quantum electrodynamics, demonstrates the generation of mechanical work through thermal energy injection...
February 2024: Physical Review. E
https://read.qxmd.com/read/38491612/nanoscale-electrohydrodynamic-ion-transport-influences-of-channel-geometry-and-polarization-induced-surface-charges
#40
JOURNAL ARTICLE
Arghyadeep Paul, N R Aluru
Electrohydrodynamic ion transport has been studied in nanotubes, nanoslits, and nanopores to mimic the advanced functionalities of biological ion channels. However, probing how the intricate interplay between the electrical and mechanical interactions affects ion conduction in asymmetric nanoconduits presents further obstacles. Here, ion transport across a conical nanopore embedded in a polarizable membrane under an electric field and pressure is analyzed by numerically solving a continuum model based on the Poisson, Nernst-Planck, and Navier-Stokes equations...
February 2024: Physical Review. E
keyword
keyword
103846
2
3
Fetch more papers »
Fetching more papers... Fetching...
Remove bar
Read by QxMD icon Read
×

Save your favorite articles in one place with a free QxMD account.

×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"

We want to hear from doctors like you!

Take a second to answer a survey question.