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Failure-mode index

Search what already failed

A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.

697 results in Negative / Null Result Report for "aging" · page 10 of 24

Negative / Null Result ReportMedicine

Magnetic resonance imaging-derived anterior tibial translation after anterior cruciate ligament reconstruction and its association with postoperative adverse events: A retrospective cohort study.

Gonzalez W, Isla J, Barba D et al. · 2026 · Journal of ISAKOS : joint disorders & orthopaedic sports medicine

Background Anterior tibial translation (ATT) measured on magnetic resonance imaging (MRI) is a reproducible marker of anterior cruciate ligament (ACL) deficiency. However, its longitudinal evolution after ACL reconstruction (ACLR) and its…

View details →DOI: 10.1016/j.jisako.2026.101134
Negative / Null Result ReportOpen accessComputer Science

On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks

John T. Holodnak, Allan B. Wollaber · 2021 · arXiv

Multiple techniques for producing calibrated predictive probabilities using deep neural networks in supervised learning settings have emerged that leverage approaches to ensemble diverse solutions discovered during cyclic training or training from multiple random starting points (deep ensembles). However, only a limited amount of work has investigated the utility of exploring the local region around each diverse solution (posterior mode). Using three well-known deep architectures on the CIFAR-10 dataset, we evaluate several simple methods for exploring local regions of the weight space with re

Negative / Null Result ReportOpen accessComputer Science

MedNet-PVS: A MedNeXt-Based Deep Learning Model for Automated Segmentation of Perivascular Spaces

Zhen Xuen Brandon Low, Rory Zhang, Hang Min et al. · 2025 · arXiv

Enlarged perivascular spaces (PVS) are increasingly recognized as biomarkers of cerebral small vessel disease, Alzheimer's disease, stroke, and aging-related neurodegeneration. However, manual segmentation of PVS is time-consuming and subject to moderate inter-rater reliability, while existing automated deep learning models have moderate performance and typically fail to generalize across diverse clinical and research MRI datasets. We adapted MedNeXt-L-k5, a Transformer-inspired 3D encoder-decoder convolutional network, for automated PVS segmentation. Two models were trained: one using a homog

Negative / Null Result ReportOpen accessEngineering

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Arjun D. Desai, Francesco Caliva, Claudia Iriondo et al. · 2020 · arXiv

Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthritis progression. Methods: A dataset partition consisting of 3D knee MRI from 88 subjects at two timepoints with ground-truth articular (femoral, tibial, patellar) cartilage and meniscus segmentations was standardized. Challenge submissions and a majority-vote ensemble were evaluated using Dice score, average symmetric surface distance, volumetric overlap error, and coefficient of variation on a hold-out test set. Simil

Negative / Null Result ReportOpen accessComputer Science

Honey, I shrunk the scientist -- Evaluating 2D, 3D, and VR interfaces for navigating samples under the microscope

Jan Tiemann, Matthew McGinity, Ulrik Günther · 2026 · arXiv

In contemporary biology and medicine, 3D microscopy is one of the most widely-used techniques for imaging and manipulation of various kinds of samples. Navigating such a micrometer-sized, 3-dimensional sample under the microscope -- e.g. to find relevant imaging regions -- can pose a tedious challenge for the experimenter. In this paper, we examine whether 2D desktop, 3D desktop, or Virtual Reality (VR) interfaces provide the best user experience and performance for the exploration of 3D samples. We invited 12 skilled microscope operators to perform two different exploration tasks in 2D, 3D an

Negative / Null Result ReportMedicine

The Association Between the STOP-Bang Score and the Integrated Pulmonary Index in Patients Undergoing Endobronchial Ultrasound with Sedation: The STOP OSA-IPI Cohort Study.

Ozden Sertcelik U, Turker M, Sertcelik A et al. · 2026 · Medicina (Kaunas, Lithuania)

Background and Perspectives : Obstructive sleep apnea (OSA) is a prevalent condition associated with increased perioperative risks. Endobronchial ultrasound (EBUS), a diagnostic and staging procedure requiring deep sedation, may pose…

View details →DOI: 10.3390/medicina62061034
Negative / Null Result Report

Effect of remote surveillance system on management of diagnostic imaging significant actionable findings.

Jose A. Rivera, Carmen E. Gonzalez, Tonita Bates · 2024 · JCO Oncology Practice

327 Background: Delayed assessment of diagnostic imaging (DI) significant actionable findings (AFs) at an oncological center prompted the creation of a safety net system which used technological advancements to improve communication…

View details →DOI: 10.1200/op.2024.20.10_suppl.327
Negative / Null Result ReportMedicine

Exploring the Association of Religion and Religiosity on Mammography Screening Among White and Black Women: Results from the Brazilian Longitudinal Study of Aging (Elsi-Brazil).

Dias CS Jr, Verona AP, Leocádio V · 2026 · Journal of religion and health

This study examines the relationship between religious denomination, religious attendance, and mammography screening among White and Black women in Brazil, using baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil,…

View details →DOI: 10.1007/s10943-026-02694-3
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants

Louis Jalouzot, Alexis Thual, Yair Lakretz et al. · 2025 · arXiv

We investigate optimal strategies for decoding perceived natural speech from fMRI data acquired from a limited number of participants. Leveraging Lebel et al. (2023)'s dataset of 8 participants, we first demonstrate the effectiveness of training deep neural networks to predict LLM-derived text representations from fMRI activity. Then, in this data regime, we observe that multi-subject training does not improve decoding accuracy compared to single-subject approach. Furthermore, training on similar or different stimuli across subjects has a negligible effect on decoding accuracy. Finally, we fin

Negative / Null Result ReportOpen accessMedicine

Difference in Background Parenchymal Enhancement on Contrast-Enhanced Mammography in Treatment-Naïve Versus Systemic Neoadjuvant Chemotherapy Patients.

Hoon OH, Leung SY, Ko TY et al. · 2026 · Cureus

Background and purpose Contrast-enhanced mammography (CEM) has emerged as a valuable imaging modality for breast cancer detection and management. Background parenchymal enhancement (BPE) reflects the level of normal glandular tissue…

View details →DOI: 10.7759/cureus.107590
Negative / Null Result ReportOpen accessComputer Science

Context-Aware Content Moderation for German Newspaper Comments

Felix Krejca, Tobias Kietreiber, Alexander Buchelt et al. · 2025 · arXiv

The increasing volume of online discussions requires advanced automatic content moderation to maintain responsible discourse. While hate speech detection on social media is well-studied, research on German-language newspaper forums remains limited. Existing studies often neglect platform-specific context, such as user history and article themes. This paper addresses this gap by developing and evaluating binary classification models for automatic content moderation in German newspaper forums, incorporating contextual information. Using LSTM, CNN, and ChatGPT-3.5 Turbo, and leveraging the One Mi

Negative / Null Result ReportOpen accessMedicine

Plantar Heel Pain Is Not Associated With Fatty Infiltration of the Abductor Digiti Minimi Muscle on Magnetic Resonance Imaging: A Cross-Sectional Observational Study.

Chen JSC, Osborne JWA, Menz HB et al. · 2026 · Journal of foot and ankle research

Background Fatty infiltration, or fatty atrophy, of the abductor digiti minimi (ADM) muscle of the foot is proposed to be associated with entrapment of the first branch of the lateral plantar nerve (i.e., Baxter's neuropathy) as part of…

View details →DOI: 10.1002/jfa2.70155
Negative / Null Result ReportOpen access

Pre-defoliation canopy height for signal grass ‘Basilisk’ in silvopastoral systems

V. Oliveira, R. B. D. Silva, A. Veloso et al. · 2024 · Semina: Ciências Agrárias

The objective of this study was to compare the response of Urochloa decumbens cv. Basilisk pastures in monoculture and silvopastoral systems (SPS), and to determine the most suitable pre-defoliation canopy height for managing this species…

View details →DOI: 10.5433/1679-0359.2024v45n4p1081
Negative / Null Result ReportOpen accessComputer Science

Fusion of Graph Neural Networks via Optimal Transport

Weronika Ormaniec, Michael Vollenweider, Elisa Hoskovec · 2025 · arXiv

In this paper, we explore the idea of combining GCNs into one model. To that end, we align the weights of different models layer-wise using optimal transport (OT). We present and evaluate three types of transportation costs and show that the studied fusion method consistently outperforms the performance of vanilla averaging. Finally, we present results suggesting that model fusion using OT is harder in the case of GCNs than MLPs and that incorporating the graph structure into the process does not improve the performance of the method.

Negative / Null Result ReportOpen accessPediatrics

Association between parental factors and child's behaviors during moderate sedation in pediatric dental care

Mohamad A. Alanbari, Mohamad A. Alanbari, Hebah M. Hamdan et al. · 2024 · Frontiers in Pediatrics

Background/AimManaging young children with negative behaviors can be challenging in dental settings. Moderate sedation (MS) is often used as a treatment option for such children. However, children's behavior during MS may vary depending on several variables. These variables include parental factors, such as parental anxiety, coping strategies, and pain catastrophizing. However, this area, particularly in Saudi Arabia, remains underexplored. Therefore, this study aimed to assess the association among parental anxiety, coping style, pain catastrophizing, and children's behavior during MS among S

View details →DOI: 10.3389/fped.2024.1456395
Negative / Null Result ReportMedicine

Lumbar degenerative disease: association of serum complement levels with diagnosis, structural severity, and postoperative prognosis.

Deng, Zhu, Cao et al. · 2026 · European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

The clinical evaluation of lumbar degenerative disease (LDD) severity relies on symptoms and imaging, lacking biologically specific diagnostic markers. This study investigated the role of serum complements in LDD to assess their potential…

View details →DOI: 10.1007/s00586-026-10086-0
Negative / Null Result ReportOpen accessMedicine

Identifying early changes in imaging, plasma, and digital cognitive biomarkers that correspond to Alzheimer's disease pathology in the presence of autopsy-confirmed co-pathologies.

Chen CD, Aguero C, Melloni A et al. · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association

Introduction Alzheimer's disease (AD) biomarkers are assessed on their ability to detect AD pathophysiology in vivo, with confirmation of AD neuropathology only at autopsy. Methods Positron emission tomography (PET), plasma, and cognitive…

View details →DOI: 10.1002/alz.71092
Negative / Null Result ReportOpen accessOtorhinolaryngology

Clinical Care Pathway Time Intervals and Tumor Progression Among Head and Neck Cancer Patients at East Avenue Medical Center Before and During the COVID-19 Pandemic

Fery Mai Rafanan, Eduard Alfanta, Romulus Roberto Peter Instrella · 2024 · Philippine Journal of Otolaryngology Head and Neck Surgery

Objective: To investigate the association between the time intervals of key clinical time points and tumor progression (increase in clinical staging) in head and neck cancer patients before and during the pandemic. Methods: Design: Retrospective Cohort Study Setting: Tertiary Government Training Hospital Participants: A total of 81 head and neck cancer patients who consulted at the OPD and underwent elective surgery between January 1, 2018, and December 31, 2022, under the Department of Otorhinolaryngology – Head and Neck Surgery of East Avenue Medical Center were included in the study; 40 pat

View details →DOI: 10.32412/pjohns.v39i1.2197