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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.

20217 results in Negative / Null Result Report · page 163 of 674

Negative / Null Result ReportOpen accessMedicine

Cardiovascular Risk Assessment in Patients with Rheumatoid Arthritis

Ruxandra Oiegar, Dana Pop · 2025 · Journal of Clinical Medicine

Background/Objectives: Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by inflammation of the synovium. The inflammation accelerates the development and progression of atherosclerosis, a key phenomenon in the onset of cardiovascular diseases. The aim of this review was to synthetize the traditional and RA-specific cardiovascular risk (CVR) factors and the CVR assessment guidelines in RA patients. Methods: We performed a PubMed search using specific keywords. We synthetized the main findings. Results: Although the risk factors are the traditional ones, with certain par

View details →DOI: 10.3390/jcm14186461Cited by 9
Negative / Null Result ReportOpen accessMedicine

Perspectives on Artificial Intelligence in Dermatology: An International Cross-Sectional Study

Emmanouil Karampinis, Christina-Marina Zoumpourli, Aimilios Lallas et al. · 2026 · Medicina

Background and Objectives: Artificial intelligence (AI) has transitioned to an integral part of dermatology in only few years, yet perceptions of its use vary widely, reflecting diverse hopes, concerns, and perceived clinical utility. Materials and Methods: In this study, 300 dermatologists from 13 countries, representing a range of experience levels and AI usage statuses, were surveyed regarding the characteristics and applications of AI in dermatology. Results: Among respondents, 61.33% reported having used AI tools in clinical practice. Adoption of AI was observed across all age groups, cou

View details →DOI: 10.3390/medicina62040759Cited by 9
Negative / Null Result ReportOpen accessMathematics

Evaluation of trajectory analysis for disease risk assessment: a scoping review

Freya Pollington, Spiros Denaxas, Kezhi Li et al. · 2025 · Journal of the American Medical Informatics Association

OBJECTIVES: Increasingly, structured longitudinal electronic health records (EHRs) are being harnessed to predict risk of having present but as yet undetected disease by analyzing "patient trajectories." Trajectory studies explore clinical event associations, characterize disease trajectories, and enhance risk prediction. This scoping review assesses study characteristics and objectives, identifies model types, and appraises model performance and reporting. MATERIALS AND METHODS: We conducted a scoping review, focused on a PubMed and Web of Science search for studies using temporal EHR sequenc

View details →DOI: 10.1093/jamia/ocaf208Cited by 9
Negative / Null Result ReportOpen accessNeuroscience

A ratiometric ER calcium sensor for quantitative comparisons across cell types and subcellular regions

Ryan J. Farrell, S. Thomas Hennigan, Kirsten G. Bredvik et al. · 2026 · The Journal of General Physiology

The ER is an important regulator of Ca2+ in cells and dysregulation of ER Ca2+ homeostasis can lead to numerous pathologies. Understanding how various pharmacological and genetic perturbations of ER Ca2+ homeostasis impact cellular…

View details →DOI: 10.1085/jgp.202413564Cited by 9
Negative / Null Result ReportOpen accessMedicine

Immunophenotypic Profile of Adult Glioblastoma IDH-Wildtype Microenvironment: A Cohort Study

Sofia Asioli, Lidia Gatto, Uri Vardy et al. · 2024 · Cancers

Background: Glioblastoma IDH-wildtype (GBM IDH-wt) is the most aggressive brain tumor in adults and is characterized by an immunosuppressive microenvironment. Different factors shaping its tumor microenvironment (TME) regulate tumor progression and treatment response. The aim of this study was to characterize the main immunosuppressive elements of the GBM IDH-wt TME. Methods: Immunohistochemistry for CD3, CD4, CD8, CD163, programmed death ligand 1 (PD-L1) and programmed death 1 (PD1) was performed on surgical tumor specimens from patients diagnosed with GBM IDH-wt, according to the CNS WHO 202

View details →DOI: 10.3390/cancers16223859Cited by 9
Negative / Null Result ReportOpen accessMedicine

Nectin-4 PET for predicting enfortumab vedotin dose-response in urothelial carcinoma

Akhilesh Mishra, Ajay Sharma, Kuldeep Gupta et al. · 2026 · Science Advances

Optimizing dosing strategies is critical to balance effectiveness and toxicity, especially for drugs with narrow therapeutic windows such as antibody-drug conjugates (ADCs). This study evaluates whether positron emission tomography (PET) imaging targeting Nectin-4 can noninvasively quantify the real-time interaction of the ADC enfortumab vedotin (EV) with tumors in urothelial carcinoma. Using the imaging agent [ 68 Ga]AJ647, dynamic changes in the interaction of EV with Nectin-4 were measured across preclinical models and correlated with therapeutic responses. PET imaging identified dose-depen

View details →DOI: 10.1126/sciadv.ady1111Cited by 9
Negative / Null Result ReportOpen accessMedicine

Human microglial transitions at the Aβ–tau inflection point associate with divergent pathways to dementia and resilience

Ashley Lu, Wei-Ting Chen, Maria Dalby et al. · 2026 · Nature Medicine

Alzheimer's disease (AD) is not an inevitable outcome of pathology but a dynamic process shaped by how brain cells respond to amyloid-β (Aβ) and tau. To disentangle these responses, we combined spatial transcriptomics and single-nucleus RNA sequencing of the superior frontal cortex from octogenarians living with or without dementia and from cognitively intact centenarians with comparable Aβ accumulation. We identified six distinct tissue domains representing a spatial pathological continuum of AD, with a key inflection point marked by a shift from Aβ-associated inflammatory changes to tau-asso

View details →DOI: 10.1038/s41591-026-04393-8Cited by 9
Negative / Null Result ReportOpen accessPsychology

AI Chatbot Use and Disclosure for Mental Health Among US Adolescents and Young Adults

Ryan K. McBain, Jonathan Cantor, J. Breslau et al. · 2026 · Archives of Pediatrics and Adolescent Medicine

Importance: The rapid expansion of artificial intelligence (AI) chatbots has coincided with a persistent youth mental health crisis in the US, raising a question about the extent to which young people are turning to this technology for…

View details →DOI: 10.1001/jamapediatrics.2026.2015Cited by 9
Negative / Null Result ReportOpen accessMaterials Science

Biomaterials in personalized drug delivery: innovations, challenges, and future directions

Adna Hrapović, Nadia Islam, Asmaa Al Bourghli et al. · 2026 · PeerJ

The growing global demand for effective and safe therapeutics has accelerated advances in biomaterials for drug delivery applications. Biomaterials, including polymers, metals, ceramics, and composites, play a central role in modern medical devices and therapeutic systems by enabling controlled interactions with biological environments. Initially defined as inert materials interfacing with biological systems, biomaterials are now rationally engineered to treat, replace, or evaluate tissue and organ functions. Recent progress in regenerative medicine, nanotechnology, and precision healthcare ha

View details →DOI: 10.7717/peerj.20982Cited by 9
Negative / Null Result ReportOpen accessEnvironmental Science

Unexpected Polymerization Pathway in the Carbocatalysts/Permanganate Processes for Water Decontamination

Zhengwei Zhou, Yue Wang, Guojie Ye et al. · 2026 · Environmental Science & Technology

Abstract Permanganate (KMnO4) is widely used in water treatment but is often limited by its moderate oxidation potential for the deep decomposition of contaminants. Here, we found that multiple conductive carbocatalysts (e.g., carbon…

View details →DOI: 10.1021/acs.est.5c17609Cited by 9
Negative / Null Result ReportOpen accessPhysics and Astronomy

Indirect searches for dark photon-photon tridents in celestial objects

Tim Linden, Thong T. Q. Nguyen, Tim M. P. Tait · 2026 · Journal of Cosmology and Astroparticle Physics

Abstract We model and constrain the unique indirect detection signature produced by dark matter particles that annihilate through a U(1) gauge symmetry into dark photons that subsequently decay into three-photon final states. We focus on scenarios where the dark photon is long-lived, and show that γ-ray probes of celestial objects can set strong constraints on the dark matter/baryon scattering cross section that in many cases surpass the power of current direct detection constraints, and in some cases even peer into the neutrino fog.

View details →DOI: 10.1088/1475-7516/2026/08/056Cited by 9
Negative / Null Result ReportOpen accessChemistry

Catalytic Oxidative Ligand Transfer of Rh-Carbynoids and Alkyl Iodides

Josep Esteve Guasch, Debasis Pal, Marcos G. Suero · 2025 · Journal of the American Chemical Society

High Resolution Image Download MS PowerPoint Slide Herein, we disclose the first catalytic generation of alkyl–I (III) Rh (II) -carbynoids via oxidative ligand transfer between alkyl iodides and aryl–I (III) Rh (II) -carbynoids. When homoallylic iodides were used, alkyl–I (III) Rh (II) -carbynoids evolved through a diastereoselective cyclopropanation that led to highly electrophilic bicyclic alkyl–I (III) species. We observed that the latter species reacted with a plethora of nucleophiles, enabling access to a valuable class of cyclopropanes that were converted to housanes.

View details →DOI: 10.1021/jacs.5c09559Cited by 9
Negative / Null Result ReportOpen accessSocial Sciences

The impact of AI anxiety on career decisions of college students

Ninggui Duan, Lina Li, Guangbo Lin et al. · 2026 · Scientific Reports

The rapid advancement of artificial intelligence (AI) has reshaped the employment market, triggering widespread anxiety among college students about their future careers and posing a potential threat to their career decisions. Grounded in…

View details →DOI: 10.1038/s41598-026-37648-yCited by 9
Negative / Null Result ReportOpen accessComputer Science

Language models transmit behavioural traits through hidden signals in data

Alex Cloud, Minh Le, James Chua et al. · 2026 · Nature

. Here we show that distillation can lead to subliminal learning-the transmission of behavioural traits through semantically unrelated data. In our main experiments, a 'teacher' model with some trait T (such as disproportionately generating responses favouring owls or showing broad misaligned behaviour) generates datasets consisting solely of number sequences. Remarkably, a 'student' model trained on these data learns T, even when references to T are rigorously removed. More realistically, we observe the same effect when the teacher generates math reasoning traces or code. The effect occurs on

View details →DOI: 10.1038/s41586-026-10319-8Cited by 9
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Curcumin Between Pleiotropic Potential and Translational Constraints

Alessandro Magini, Alessandro Datti · 2026 · International Journal of Molecular Sciences

Curcumin is widely recognized for its anti-inflammatory and antioxidant properties; however, this conventional framing obscures a broader, complex, and mechanistically diverse pharmacology. Here, we advance a refined perspective that situates curcumin within a hierarchical and multilayered architecture shaped by the dynamic interplay of intrinsic chemical reactivity, metabolic transformation and exposure, and microbial modulation. From this standpoint, curcumin functions as a network-level modulator, producing context-dependent outcomes rather than uniform or linear responses. Consequently, it

View details →DOI: 10.3390/ijms27052212Cited by 9
Negative / Null Result ReportOpen accessHealth Professions

Central and Peripheral Sensitization in Temporomandibular Disorders: Proposed Mechanisms of Botulinum Toxin Therapy

Basit Ali Chaudhry, Christopher Louis Robinson, Edoardo Caronna et al. · 2026 · Toxins

Temporomandibular disorders (TMDs) are common musculoskeletal chronic orofacial pain conditions involving peripheral and central sensitization within trigeminal nociceptive pathways, manifesting as mechanical allodynia and functional impairment. Botulinum toxin type A (BoNT-A) has been explored as a treatment targeting both muscle hyperactivity and nociceptive modulation. Preclinical and clinical evidence demonstrate that BoNT-A reduces peripheral neurotransmitter release, neurogenic inflammation, and central neuronal excitability, leading to attenuation of mechanical allodynia in TMD models a

View details →DOI: 10.3390/toxins18010028Cited by 9
Negative / Null Result ReportOpen accessPsychology

Limited evidence for reduced learning rate adaptation in anxious-depression, before or after treatment

Steph F Suddell, Lili Zhang, Chi Tak Lee et al. · 2026 · Psychological Medicine

Abstract Background Prior research shows that humans adjust their learning rate based on environmental volatility. This adaptation has been shown to be reduced in individuals with high levels of anxious-depression, but past studies have been cross-sectional, making it unclear whether this adaptation is trait-like or responsive to treatment. There are also questions about the basic replicability of this effect with recent studies failing to find robust associations. Method In the Precision in Psychiatry study, we examined changes in learning rate adaptation in a points-loss task, following four

View details →DOI: 10.1017/s0033291726105698Cited by 9
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Root traits and mycorrhizal fungi mediate reactive N and warming impacts on soil organic carbon

Yunpeng Qiu, Yunfeng Zhao, Bianbian Wang et al. · 2026 · Nature Communications

Plant roots and arbuscular mycorrhizal fungi (AMF) form a ubiquitous symbiosis in terrestrial ecosystems and critically affect soil organic carbon (SOC) dynamics. However, how roots and AMF mediate the impact of reactive nitrogen (Nr) and…

View details →DOI: 10.1038/s41467-026-69301-7Cited by 9
Negative / Null Result ReportMedicine

High-Flow or Standard Oxygen in Acute Hypoxemic Respiratory Failure

Jean-Pierre Frat, J. Quenot, Christophe Guitton et al. · 2026 · New England Journal of Medicine

BACKGROUND: Data are needed on the effect of oxygen delivered through a high-flow nasal cannula, as compared with standard oxygen therapy, on intubation and mortality in patients with acute hypoxemic respiratory failure. METHODS: In this…

View details →DOI: 10.1056/nejmoa2516087Cited by 9
Negative / Null Result ReportOpen accessEngineering

A vascularized 3D bioengineered lung tumor model for anticancer drug screening

Mingqi Wang, Yulin Ye, Ruqiang Yuan et al. · 2025 · Cancer Cell International

The limited clinical translation of preclinical anticancer drug efficacy underscores the urgent need for advanced models that faithfully replicate tumor pathophysiology. While three-dimensional (3D) tumor cultures improve the fidelity of…

View details →DOI: 10.1186/s12935-025-04064-7Cited by 9
Negative / Null Result ReportOpen accessComputer Science

No one-size-fits-all: a study of prompt techniques and large language models to enhance AI’s mathematics educational quality

Sebastian Schorcht, Fabian Anton Müller, Nils Frederik Buchholtz · 2026 · ZDM

Abstract Large Language Models (LLMs) are increasingly discussed as tools for supporting mathematical problem solving. However, existing research predominantly evaluates LLM performance in terms of correctness, while the mathematics educational quality of AI-generated worked-out solutions remains largely unexplored. This study investigates how the mathematics educational quality (a set of quality criteria relating to teaching and learning mathematics) of AI-generated problem solutions can be influenced by model choice and prompt engineering. Four LLMs (Gemini 1.5 Pro (Advanced), Claude 3.5 Son

View details →DOI: 10.1007/s11858-026-01784-6Cited by 9
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Distinct cell types along thick ascending limb express pathways for monovalent and divalent cation transport

Hasan Demirci, Jessica Paola Bahena-López, Смородченко Алина Тихоновна et al. · 2025 · JCI Insight

Kidney thick ascending limb cells reabsorb sodium, potassium, calcium, and magnesium and contribute to urinary concentration. These cells are typically viewed as of a single type that recycles potassium across the apical membrane and generates a lumen-positive transepithelial voltage driving calcium and magnesium reabsorption, although variability in potassium channel expression has been reported. Additionally, recent transcriptomic analyses suggest that different cell types exist along this segment, but classifications have varied and have not led to a new consensus model. We used immunolocal

View details →DOI: 10.1172/jci.insight.190992Cited by 9
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Fluorescence-based mapping of condensate dielectric permittivity uncovers hydrophobicity-driven membrane interactions

Elias Sabri, Agustín Mangiarotti, Rumiana Dimova · 2026 · Nature Communications

Biomolecular condensates, essential for cellular organization, possess mesoscale properties largely governed by hydrophobicity, influencing molecule partitioning and material characteristics like viscosity, surface tension, and hydration. While hydrophobicity's role is increasingly recognized, its impact on membrane-condensate interactions remains unexplored. Here, we combine hyperspectral imaging of an environment-sensitive dye and phasor analysis, to quantitatively map the local dielectric permittivity of both condensates and their environment with pixel resolution. This robust method senses

View details →DOI: 10.1038/s41467-026-71273-7Cited by 9
Negative / Null Result ReportOpen accessMedicine

Parkinson's disease: pathogenesis and therapeutic strategies

Shanshan Zhang, Tingyu Wang, Ye Peng et al. · 2026 · Molecular Biomedicine

Parkinson's disease (PD) is a neurodegenerative disorder primarily characterized by motor impairments such as bradykinesia, tremor, and rigidity. Its neuropathological hallmarks include the progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNc) and the aggregation of α-synuclein (α-syn) into Lewy bodies (LBs), which gradually spread to other central nervous system regions and peripheral tissues. The etiology of PD is multifactorial, involving a complex interplay of genetic predisposition, aging, environmental exposures, and lifestyle factors. Disease pathogenesis

View details →DOI: 10.1186/s43556-026-00445-0Cited by 9
Negative / Null Result ReportOpen accessPhysics and Astronomy

The Steep Redshift Evolution of the Hierarchical Binary Black Hole Merger Rate May Cause the z - χ eff Correlation

A. M. Farah, A. Vijaykumar, M. Fishbach · 2026 · The Astrophysical Journal Letters

Abstract There is growing evidence from gravitational-wave (GW) observations that some merging black holes (BHs) are created from previous mergers. Using the prediction that these hierarchically merged BHs have dimensionless spin magnitudes of χ ≈ 0.69, we identify a subpopulation in the GW data consistent with a hierarchical-merger origin in dense star clusters. This subpopulation’s primary mass distribution peaks at 17 . 0 − 4.4 + 18.3 M ⊙ , which is approximately twice as large as its secondary mass distribution’s mode ( 10 . 5 − 4.7 + 29.7 M ⊙ ), and its spin tilt distribution is consisten

View details →DOI: 10.3847/2041-8213/ae4e19Cited by 9
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Improving ricotta cheese shelf life using saffron petal extract double nanoemulsions stabilized by plant proteins and Lepidium sativum L. gum

Fereshteh Bakhshalipoor, Marzieh Bolandi, Fariborz Nahidi et al. · 2026 · Scientific Reports

This study evaluated the effects of double nanoemulsions of saffron petal extract (DN-SPE), stabilized with soybean (SPI) and pea protein isolates (PPI), alone or combined with Lepidium sativum L. seed gum (LSG) (SL or PL), on the quality…

View details →DOI: 10.1038/s41598-026-52693-3Cited by 9
Negative / Null Result ReportOpen accessMedicine

Biomarkers for advancing diagnosis and prognosis in stroke

Steffen Tiedt, Alejandro Bustamante, Alan Cameron et al. · 2026 · The Lancet Neurology

The complexity and incomplete understanding of the pathophysiology of stroke poses substantial challenges to personalised medicine and the development of novel therapies, as reflected in the neutral results of many randomised trials. Current clinical algorithms lack the precision to diagnose stroke before hospital admission, predict disease progression and recovery, or assess recurrence risk. Biomarkers are urgently needed, yet the absence of a robust evidence base hinders their clinical translation. To lay the groundwork for addressing this knowledge gap, an international multidisciplinary pa

View details →DOI: 10.1016/s1474-4422(25)00480-6Cited by 9
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Predictors of withdrawal of anticancer drug indications granted accelerated approval: a retrospective cohort study

Ariadna Tibau, Edward R. Scheffer Cliff, Alejandra Romano et al. · 2025 · EClinicalMedicine

Background: The accelerated approval pathway allows the FDA to approve drugs for serious conditions based on promising surrogate measures, with confirmatory studies required later. If subsequent testing shows an unfavorable benefit-risk profile, the indication may be withdrawn. This study aimed to identify factors associated with the withdrawal of drug indications following accelerated approval. Methods: In this retrospective cohort study, we identified FDA-approved drugs for solid and hematologic cancers from 1992 to 2022 and extracted factors present at the time of accelerated approval, incl

View details →DOI: 10.1016/j.eclinm.2025.103088Cited by 9
Negative / Null Result ReportOpen accessMedicine

Precision oncology in gastric cancer: Shaping the future of personalized treatment

Cristina Migliore, Elisabetta Fenocchio, Silvia Giordano et al. · 2025 · Cancer Treatment Reviews

Gastric cancer (GC) is the third leading cause of cancer-related mortality worldwide, and is associated with a very poor prognosis, largely due to its aggressive nature and, typically, late-stage diagnosis. Molecular classifications proposed one decade ago have provided valuable insights into the disease's heterogeneity and paved the way for clinical trials of tailored treatments. However, most of these trials have failed, often due to inadequate patient selection, lack of reliable biomarkers of response/resistance, or for the high level of inter- and intra-tumor heterogeneity characterizing t

View details →DOI: 10.1016/j.ctrv.2025.103038Cited by 9
Negative / Null Result ReportOpen accessPhysics and Astronomy

A journey of seeking pressure and forces in the nucleon

Xiangdong Ji, Yang Chen · 2026 · Nuclear Physics B

Momentum current density (MCD) $T^{ij}$ is a general physics concept describing the momentum conservation through momentum flow generated from both the kinetic motion of particles and the interacting forces among them. It has been suggested by M. Polyakov et al. that the MCD in the nucleon, characterized by the form factor $C/D$ of the QCD energy-momentum tensor, can be interpreted as the pressure and shear forces between adjacent parts of the system because the nucleon interior approximates a continuous medium. While intuitively appealing, we find that the interpretation is hard to justify fr

View details →DOI: 10.1016/j.nuclphysb.2026.117342Cited by 9