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Article ; Online: The Feasibility of Early Alzheimer's Disease Diagnosis Using a Neural Network Hybrid Platform.

Yu, Xinke / Srivastava, Siddharth / Huang, Shan / Hayden, Eric Y / Teplow, David B / Xie, Ya-Hong

2022 Volume 12, Issue 9

Abstract: Early diagnosis of Alzheimer's Disease (AD) is critical for disease prevention and cure. However, currently, techniques with the required high sensitivity and specificity are lacking. Recently, with the advances and increased accessibility of data ... ...

Abstract	Early diagnosis of Alzheimer's Disease (AD) is critical for disease prevention and cure. However, currently, techniques with the required high sensitivity and specificity are lacking. Recently, with the advances and increased accessibility of data analysis tools, such as machine learning, research efforts have increasingly focused on using these computational methods to solve this challenge. Here, we demonstrate a convolutional neural network (CNN)-based AD diagnosis approach using the surface-enhanced Raman spectroscopy (SERS) fingerprints of human cerebrospinal fluid (CSF). SERS and CNN were combined for biomarker detection to analyze disease-associated biochemical changes in the CSF. We achieved very high reproducibility in double-blind experiments for testing the feasibility of our system on human samples. We achieved an overall accuracy of 92% (100% for normal individuals and 88.9% for AD individuals) based on the clinical diagnosis. Further, we observed an excellent correlation coefficient between our test score and the Clinical Dementia Rating (CDR) score. Our findings offer a substantial indication of the feasibility of detecting AD biomarkers using the innovative combination of SERS and machine learning. We are hoping that this will serve as an incentive for future research in the field.
MeSH term(s)	Alzheimer Disease/diagnosis ; Biomarkers ; Early Diagnosis ; Feasibility Studies ; Humans ; Neural Networks, Computer ; Reproducibility of Results
Chemical Substances	Biomarkers
Language	English
Publishing date	2022-09-13
Publishing country	Switzerland
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	2662125-3
ISSN	2079-6374 ; 2079-6374
ISSN (online)	2079-6374
ISSN	2079-6374
DOI	10.3390/bios12090753
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Fe protein docking transduces conformational changes to MoFe nitrogenase active site in a nucleotide-dependent manner.

Tokmina-Lukaszewska, Monika / Huang, Qi / Berry, Luke / Kallas, Hayden / Peters, John W / Seefeldt, Lance C / Raugei, Simone / Bothner, Brian

Communications chemistry

2023 Volume 6, Issue 1, Page(s) 254

Abstract: The reduction of dinitrogen to ammonia catalyzed by nitrogenase involves a complex series of events, including ATP hydrolysis, electron transfer, and activation of metal clusters for ... ...

Abstract	The reduction of dinitrogen to ammonia catalyzed by nitrogenase involves a complex series of events, including ATP hydrolysis, electron transfer, and activation of metal clusters for N
Language	English
Publishing date	2023-11-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2929562-2
ISSN	2399-3669 ; 2399-3669
ISSN (online)	2399-3669
ISSN	2399-3669
DOI	10.1038/s42004-023-01046-6
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Article ; Online: Relationships Between Preoperative Mental Health and Improvements in Patient-Reported Outcomes After Total Hip and Knee Arthroplasty.

Ren, Renee / Lim, Tiffany Y / Stern, Brocha Z / Huang, Hsin-Hui / Poeran, Jashvant / Hayden, Brett L / Chen, Darwin D / Moucha, Calin S

The Journal of arthroplasty

2022 Volume 38, Issue 4, Page(s) 655–661.e3

Abstract: Background: Poor preoperative mental health has been associated with worse outcomes after total hip (THA) and total knee arthroplasty (TKA). To fully understand these relationships, we assessed post-THA and post-TKA improvements in patient-reported ... ...

Abstract	Background: Poor preoperative mental health has been associated with worse outcomes after total hip (THA) and total knee arthroplasty (TKA). To fully understand these relationships, we assessed post-THA and post-TKA improvements in patient-reported mental and joint health by preoperative mental health groups. Methods: Elective cases (367 THA, 462 TKA) were subgrouped by low (<25th percentile), middle (25th-74th), and high (≥75th) preoperative mental health, using Veterans RAND 12-Item Health Survey Mental Component Summary (MCS) scores. In each subgroup, we assessed the relationship between preoperative MCS and 1-year postoperative change in mental and joint health. Pairwise comparisons and multivariable regression models were applied for THA and TKA separately. Results: Median postoperative mental health change was +14.0 points for the low-MCS THA group, +11.1 low-TKA, +2.0 middle-THA and TKA, -4.0 high-THA, and -4.9 high-TKA (between-group differences P < .001). All MCS groups had improved median joint health scores, without significant between-group differences. Preoperative mental health was negatively associated with mental health improvements in all groups (B = -0.94 - -0.68, P < .001-P = .01) but with improvements in joint health only in the low-THA group (B = -0.74, P = .02). Improvements in mental and joint health were positively associated for low and middle (B = 0.61-0.87, P < .001), but not for high-MCS groups, with this relationship differing for the low versus high group. Conclusion: Patients who have low preoperative mental health experienced greater postoperative mental health improvement and similar joint health improvement compared to patients who have high preoperative mental health. Findings can guide subgroup-targeted surgical decision-making and preoperative counseling.
MeSH term(s)	Humans ; Arthroplasty, Replacement, Knee/psychology ; Mental Health ; Arthroplasty, Replacement, Hip/psychology ; Patient Reported Outcome Measures
Language	English
Publishing date	2022-10-31
Publishing country	United States
Document type	Journal Article
ZDB-ID	632770-9
ISSN	1532-8406 ; 0883-5403
ISSN (online)	1532-8406
ISSN	0883-5403
DOI	10.1016/j.arth.2022.10.043
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Zs.A 2134: Show issues

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Article ; Online: Creep Analysis of Bamboo Composite for Structural Applications.

Zanker, Hayden / Rajabipour, Ali / Huang, Dongsheng / Bazli, Milad / Tang, Siyuan / Cui, Zhaoyan / Zhu, Jia / Kennaway, Joel / Diaz, Luis Herrera

Polymers

2023 Volume 15, Issue 3

Abstract: The present study investigates the phenomena of creep in a bamboo composite. The material was tested under tensile and compressive loading and simulated in finite element analysis software to estimate the creep coefficients. The presented findings have ... ...

Abstract	The present study investigates the phenomena of creep in a bamboo composite. The material was tested under tensile and compressive loading and simulated in finite element analysis software to estimate the creep coefficients. The presented findings have displayed the material's propensity to fail at loads lower than the recorded ultimate strength, as early as 65% of this strength within 100 h, showing the importance of considering creep when designing structural components. Larger resistance to creep was observed under tensile stresses. Coefficients of the time-hardening creep model were estimated, which were found to be different under compression and tension. The findings provide insight into the reliable strength value of the Bamboo Composite. They could be also essential in estimating the long-term deflations in Bamboo Composite structures.
Language	English
Publishing date	2023-01-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym15030711
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Article ; Online: A newly developed Lagrangian chemical transport scheme: Part 1. Simulation of a boreal forest fire plume.

Liu, Yayong / Huang, Yufei / Liggio, John / Hayden, Katherine / Mihele, Cris / Wentzell, Jeremy / Wheeler, Michael / Leithead, Amy / Moussa, Samar / Xie, Conghui / Yang, Yanrong / Zhang, Yuheng / Han, Tianran / Li, Shao-Meng

The Science of the total environment

2023 Volume 880, Page(s) 163232

Abstract: Forest fire research over the last several decades has improved the understanding of fire emissions and impacts. Nevertheless, the evolution of forest fire plumes remains poorly quantified and understood. Here, a Lagrangian chemical transport model, the ... ...

Abstract	Forest fire research over the last several decades has improved the understanding of fire emissions and impacts. Nevertheless, the evolution of forest fire plumes remains poorly quantified and understood. Here, a Lagrangian chemical transport model, the Forward Atmospheric Stochastic Transport model coupled with the Master Chemical Mechanism (FAST-MCM), has been developed to simulate the transport and chemical transformations of plumes from a boreal forest fire over several hours since their emission. The model results for NOx (NO and NO
Language	English
Publishing date	2023-04-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2023.163232
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Zs.A 949: Show issues

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Article ; Online: Creep Analysis of Bamboo Composite for Structural Applications

Hayden Zanker / Ali Rajabipour / Dongsheng Huang / Milad Bazli / Siyuan Tang / Zhaoyan Cui / Jia Zhu / Joel Kennaway / Luis Herrera Diaz

Polymers, Vol 15, Iss 711, p

2023 Volume 711

Abstract	The present study investigates the phenomena of creep in a bamboo composite. The material was tested under tensile and compressive loading and simulated in finite element analysis software to estimate the creep coefficients. The presented findings have displayed the material’s propensity to fail at loads lower than the recorded ultimate strength, as early as 65% of this strength within 100 h, showing the importance of considering creep when designing structural components. Larger resistance to creep was observed under tensile stresses. Coefficients of the time-hardening creep model were estimated, which were found to be different under compression and tension. The findings provide insight into the reliable strength value of the Bamboo Composite. They could be also essential in estimating the long-term deflations in Bamboo Composite structures.
Keywords	creep ; fibre ; bamboo composite ; Organic chemistry ; QD241-441
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Risk of Infection After Total Knee or Hip Arthroplasty After Receipt of Multiple Corticosteroid or Hyaluronic Acid Injections.

Raymond, Hayley E / Barbera, Joseph P / Shah, Kush C / Zubizarreta, Nicole / Huang, Hsin-Hui / Poeran, Jashvant / Chen, Darwin D / Moucha, Calin S / Hayden, Brett L

The Journal of the American Academy of Orthopaedic Surgeons

2023 Volume 31, Issue 19, Page(s) e868–e875

Abstract: Background: Few studies have assessed the relationship between the quantity of preoperative corticosteroid injections (CSIs) or hyaluronic acid injections (HAIs) and postoperative infection risk after total knee or hip arthroplasty (TKA, THA). We aimed ... ...

Abstract	Background: Few studies have assessed the relationship between the quantity of preoperative corticosteroid injections (CSIs) or hyaluronic acid injections (HAIs) and postoperative infection risk after total knee or hip arthroplasty (TKA, THA). We aimed to (1) determine whether the number of injections administered before TKA/THA procedures is associated with postoperative infections and (2) establish whether infection risk varies by injection type. Methods: This retrospective cohort study included 230,487 THAs and 371,511 TKAs from the 2017 to 2018 Medicare Limited Data Set. The quantity of CSI or HAI, defined as receiving either CSI or HAI ≤2 years before TKA/THA, was identified and categorized as 0, 1, 2, or >2. The primary outcome was 90-day postoperative infection. Multivariable regression models measured the association between the number of injections and 90-day postoperative infection. Odds ratios and 95% confidence intervals were reported. Results: The percentage of THA patients receiving 1, 2, and >2 preoperative CSIs was 6.1%, 1.6%, and 0.8%, respectively. Receiving >2 CSIs within 2 years before THA was associated with higher odds of 90-day postoperative infection (odds ratios = 1.74, 95% CI = 1.11 to 2.74, P = 0.02). The percentage of TKA patients receiving 1, 2, and >2 CSIs was 3.0%, 1.2%, and 1.1%, respectively. For HAIs in TKA patients, percentage receiving injections was 98.3%, 0.6%, 0.2%, and 0.9%, respectively. Quantity of CSIs or HAIs administered was not associated with postoperative infection among TKA patients. Conclusion: Patients receiving >2 injections before THA had higher odds of 90-day postoperative infection. This finding was not observed in TKA patients. These results suggest that the use of >2 injections within 2 years of THA should be avoided.
MeSH term(s)	United States/epidemiology ; Humans ; Aged ; Arthroplasty, Replacement, Hip/adverse effects ; Hyaluronic Acid/adverse effects ; Arthroplasty, Replacement, Knee/adverse effects ; Retrospective Studies ; Medicare ; Postoperative Complications/epidemiology ; Postoperative Complications/etiology ; Postoperative Complications/prevention & control ; Adrenal Cortex Hormones/adverse effects
Chemical Substances	Hyaluronic Acid (9004-61-9) ; Adrenal Cortex Hormones
Language	English
Publishing date	2023-08-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	1200524-1
ISSN	1940-5480 ; 1067-151X
ISSN (online)	1940-5480
ISSN	1067-151X
DOI	10.5435/JAAOS-D-22-01177
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Zs.A 4048: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 274: Show issues

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Article ; Online: Bayesian modeling of the impact of antibiotic resistance on the efficiency of MRSA decolonization.

Ojala, Fanni / Sater, Mohamad R Abdul / Miller, Loren G / McKinnell, James A / Hayden, Mary K / Huang, Susan S / Grad, Yonatan H / Marttinen, Pekka

PLoS computational biology

2023 Volume 19, Issue 10, Page(s) e1010898

Abstract: Methicillin-resistant Staphylococcus aureus (MRSA) is a major cause of morbidity and mortality. Colonization by MRSA increases the risk of infection and transmission, underscoring the importance of decolonization efforts. However, success of these ... ...

Abstract	Methicillin-resistant Staphylococcus aureus (MRSA) is a major cause of morbidity and mortality. Colonization by MRSA increases the risk of infection and transmission, underscoring the importance of decolonization efforts. However, success of these decolonization protocols varies, raising the possibility that some MRSA strains may be more persistent than others. Here, we studied how the persistence of MRSA colonization correlates with genomic presence of antibiotic resistance genes. Our analysis using a Bayesian mixed effects survival model found that genetic determinants of high-level resistance to mupirocin was strongly associated with failure of the decolonization protocol. However, we did not see a similar effect with genetic resistance to chlorhexidine or other antibiotics. Including strain-specific random effects improved the predictive performance, indicating that some strain characteristics other than resistance also contributed to persistence. Study subject-specific random effects did not improve the model. Our results highlight the need to consider the properties of the colonizing MRSA strain when deciding which treatments to include in the decolonization protocol.
MeSH term(s)	Humans ; Methicillin-Resistant Staphylococcus aureus ; Anti-Infective Agents, Local ; Bayes Theorem ; Staphylococcal Infections/drug therapy ; Carrier State ; Anti-Bacterial Agents/pharmacology ; Drug Resistance, Microbial
Chemical Substances	Anti-Infective Agents, Local ; Anti-Bacterial Agents
Language	English
Publishing date	2023-10-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	2193340-6
ISSN	1553-7358 ; 1553-734X
ISSN (online)	1553-7358
ISSN	1553-734X
DOI	10.1371/journal.pcbi.1010898
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Article ; Online: DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy.

Kelly, Brendan / Martinez, Mesha / Do, Huy / Hayden, Joel / Huang, Yuhao / Yedavalli, Vivek / Ho, Chang / Keane, Pearse A / Killeen, Ronan / Lawlor, Aonghus / Moseley, Michael E / Yeom, Kristen W / Lee, Edward H

European radiology

2023 Volume 33, Issue 8, Page(s) 5728–5739

Abstract: Objectives: Treatment and outcomes of acute stroke have been revolutionised by mechanical thrombectomy. Deep learning has shown great promise in diagnostics but applications in video and interventional radiology lag behind. We aimed to develop a model ... ...

Abstract	Objectives: Treatment and outcomes of acute stroke have been revolutionised by mechanical thrombectomy. Deep learning has shown great promise in diagnostics but applications in video and interventional radiology lag behind. We aimed to develop a model that takes as input digital subtraction angiography (DSA) videos and classifies the video according to (1) the presence of large vessel occlusion (LVO), (2) the location of the occlusion, and (3) the efficacy of reperfusion. Methods: All patients who underwent DSA for anterior circulation acute ischaemic stroke between 2012 and 2019 were included. Consecutive normal studies were included to balance classes. An external validation (EV) dataset was collected from another institution. The trained model was also used on DSA videos post mechanical thrombectomy to assess thrombectomy efficacy. Results: In total, 1024 videos comprising 287 patients were included (44 for EV). Occlusion identification was achieved with 100% sensitivity and 91.67% specificity (EV 91.30% and 81.82%). Accuracy of location classification was 71% for ICA, 84% for M1, and 78% for M2 occlusions (EV 73, 25, and 50%). For post-thrombectomy DSA (n = 194), the model identified successful reperfusion with 100%, 88%, and 35% for ICA, M1, and M2 occlusion (EV 89, 88, and 60%). The model could also perform classification of post-intervention videos as mTICI < 3 with an AUC of 0.71. Conclusions: Our model can successfully identify normal DSA studies from those with LVO and classify thrombectomy outcome and solve a clinical radiology problem with two temporal elements (dynamic video and pre and post intervention). Key points: • DEEP MOVEMENT represents a novel application of a model applied to acute stroke imaging to handle two types of temporal complexity, dynamic video and pre and post intervention. • The model takes as an input digital subtraction angiograms of the anterior cerebral circulation and classifies according to (1) the presence or absence of large vessel occlusion, (2) the location of the occlusion, and (3) the efficacy of thrombectomy. • Potential clinical utility lies in providing decision support via rapid interpretation (pre thrombectomy) and automated objective gradation of thrombectomy outcomes (post thrombectomy).
MeSH term(s)	Humans ; Stroke/diagnostic imaging ; Stroke/surgery ; Brain Ischemia ; Motion Pictures ; Deep Learning ; Retrospective Studies ; Thrombectomy/methods ; Treatment Outcome ; Endovascular Procedures/methods
Language	English
Publishing date	2023-02-27
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1085366-2
ISSN	1432-1084 ; 0938-7994 ; 1613-3749
ISSN (online)	1432-1084
ISSN	0938-7994 ; 1613-3749
DOI	10.1007/s00330-023-09478-3
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Zs.A 3300: Show issues

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Article ; Online: A Systematic Review of Microwave Ablation for Colorectal Pulmonary Metastases.

Tan, Charis Q Y / Ho, Andy / Robinson, Hayden A / Huang, Linna / Ravindran, Praveen / Chan, Daniel L / Alzahrani, Nayef / Morris, David L

Anticancer research

2023 Volume 43, Issue 7, Page(s) 2899–2907

Abstract: Background/aim: Pulmonary metastases are the second most common site of metastasis in colorectal cancer after the liver, and microwave ablation (MWA) for its treatment has grown in popularity in patients who are not suitable for pulmonary metastatectomy. ...

Abstract	Background/aim: Pulmonary metastases are the second most common site of metastasis in colorectal cancer after the liver, and microwave ablation (MWA) for its treatment has grown in popularity in patients who are not suitable for pulmonary metastatectomy. However, its long-term efficacy remains unknown. Materials and methods: A systematic review was conducted in July 2022 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, using PubMed, EMBASE, Scopus, and Cochrane databases. Studies adopting MWA for colorectal cancer pulmonary metastases were included. Results: A total of 488 lesions were ablated in 230 patients across eight studies. The median duration of ablation was 10 minutes. The mean length of stay in hospital was 2.3 days. Complications included pneumothorax in 128 (52%) patients; pneumonia, which occurred in 4 (1.7%) patients, and pulmonary haemorrhage in 23 (10.0%) patients. Complete remission was achieved in 85 (37.0%) patients, local control was achieved in 103 (44.8%) patients, and residual or progressive disease remained in 85 (37.0%). Survival post ablation at 1 year was 89.2% and at 3 years was 40.3%. Post-ablation disease-free survival was 43.2% at 3 years. Conclusion: MWA is an alternative treatment for pulmonary metastases of colorectal cancer. It has competitive theoretical properties and local recurrence rate compared to radiofrequency ablation.
MeSH term(s)	Humans ; Treatment Outcome ; Microwaves/adverse effects ; Catheter Ablation/adverse effects ; Radiofrequency Ablation ; Lung Neoplasms/secondary ; Colorectal Neoplasms/pathology ; Liver Neoplasms/secondary
Language	English
Publishing date	2023-06-23
Publishing country	Greece
Document type	Systematic Review ; Journal Article ; Review
ZDB-ID	604549-2
ISSN	1791-7530 ; 0250-7005
ISSN (online)	1791-7530
ISSN	0250-7005
DOI	10.21873/anticanres.16461
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