Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural Networks

Large water Cherenkov detectors have shaped our current knowledge of neutrino physics and nucleon decay, and will continue to do so in the foreseeable future. These highly capable detectors allow for directional and topological, as well as calorimetric information to be extracted from signals on their photosensors. The current state-of-the-art approach to water Cherenkov reconstruction relies on maximum-likelihood estimation, with several simplifying assumptions employed to make the problem tractable. In this paper, we describe neural networks that produce probability density functions for the signals at each photosensor, given a set of inputs that characterizes a particle in the detector. The neural networks we propose allow for likelihood-based approaches to event reconstruction with significantly fewer assumptions compared to traditional methods, and are thus expected to improve on the current performance of water Cherenkov detectors.

POS0565 WORSE OUTCOMES LINKED TO ETHNICITY FOR EARLY INFLAMMATORY ARTHRITIS IN ENGLAND AND WALES: A NATIONAL COHORT STUDY

Background

Patients from ethnic minority backgrounds suffer considerable health inequality, with generally poorer health outcomes relative to the rest of the population.1 Further exploration of these differences is essential if we are to deliver the best care for all, and close the health gap for our patients.

Objectives

We used the National Early Inflammatory Arthritis Audit (NEIAA) to assess variability in care quality and treatment outcomes across ethnicities for patients diagnosed with early inflammatory arthritis (EIA) in England and Wales.

Methods

NEIAA is an observational cohort design. Data were from adult patients newly diagnosed with EIA, and seen by rheumatology in England and Wales between May 2018 and March 2020. Quality of care outcomes were assessed against six metrics contained within the National Institute for Health and Clinical Excellence (NICE) Quality Standard for Rheumatoid Arthritis.2 Clinical outcomes were measured using DAS28. Outcomes were compared between ethnic groups (White, Black, Asian, Mixed, Other), and adjusted for confounders (age, sex, smoking, comorbidity, seropositivity and disease severity at presentation) using Logistic regression models with multiple imputation for missing data.

Results

Data for 35,807 eligible patients were analysed, of whom 30,643 (85.6%) were White and 5,164 (14.6%) were from ethnic minority backgrounds: 1,035 (2.8%) Black; 2,617 (7.3%) Asian; 238 (0.6%) Mixed; 1,274 (3.5%) Other. A total of 12,955 patients had confirmed EIA. Of those, 11,315 were White and 1,640 were from ethnic minority backgrounds: 314 (2.4%) Black; 927 (7.1%) Asian; 70 (0.5%) Mixed; 329 (2.5%) Other.

Of 35,160 eligible patients who had data available, 14,803 (42.1%) were assessed by rheumatology within three weeks of referral. Of 9,900 EIA-eligible patients with data available, 5,642 (57.0%) started treatment within six weeks of referral. There were no significant differences in these outcomes by ethnicity. Ethnic minority patients did, however, have lower odds of disease remission at three months, relative to patients of White ethnicity (adjusted odds ratio 0.79; 95% CI: 0.65-0.96; p=0.02). This difference was due to lower odds of disease remission in Black and Asian patients, relative to White patients (Table 1). Ethnic minority patients were significantly less likely to receive initial treatment with methotrexate (0.68; 95% CI: 0.52-0.90; p=0.008) or with glucocorticoids (0.63, 95% CI: 0.49-0.80; p< 0.001).

Table 1.

Associations between ethnicity and disease remission at three months in EIA patients

ModelOdds ratio95% CIP-valueUnadjustedAll ethnic minority0.76(0.62,0.93)0.01backgroundsBlack0.48(0.34,0.67)<0.001Asian0.74(0.59,0.93)0.01Mixed0.61(0.28,1.35)0.22Other1.09(0.71,1.68)0.67Age and sex-adjustedAll ethnic minority0.78(0.63,0.96)0.01backgroundsBlack0.49(0.35,0.69)0.00Asian0.75(0.60,0.94)0.01Mixed0.63(0.28,1.39)0.25Other1.11(0.71,1.71)0.63Fully-adjustedAll ethnic minority0.79(0.65,0.96)0.02backgroundsBlack0.57(0.41,0.79)0.001Asian0.76(0.62,0.93)0.009Mixed0.63(0.27,1.46)0.29Other1.04(0.71,1.54)0.80

Conclusion

The results from this large cohort demonstrate that some minority ethnic groups are less likely to reach disease remission in the early months following an EIA diagnosis. Our results are not explained by delays in referral or treatment. Intitial treatment strategies varied across ethnic groups. These data highlight the need for investigation into the possible drivers of these inequitable outcomes and reappraisal of EIA management pathways.

References

[1]Greenberg JD, Spruill TM, Shan Y, Reed G, Kremer JM, Potter J, et al. Racial and ethnic disparities in disease activity in patients with rheumatoid arthritis. Am J Med. 2013;126(12):1089-98.

[2]NICE quality standard for rheumatoid arthritis in over 16s. Nice.org.uk. 2013 [cited 25 January 2022]. Available from: https://www.nice.org.uk/guidance/qs33/documents/previous-version-of-quality-standard.

Disclosure of Interests

Maryam Adas: None declared, Sathiyaa Balachandran: None declared, Sam Norton: None declared, Edward Alveyn: None declared, Mark Russell Speakers bureau: Has received speaker fees and educational grants from Janssen, Lilly, Menarini, Pfizer and UCB, Tom Esterine Speakers bureau: Patient review of P.I.S and consent form into lay language for KCL that was linked to Pharma company., Paul Amlani-Hatcher: None declared, Sarah Oyebanjo: None declared, Heidi Lempp: None declared, Jo Ledingham: None declared, Kanta Kumar Speakers bureau: Has received training form Pfizer and speaker fees 2021 from Janssen., Paid instructor for: Has received training form Pfizer, James Galloway Speakers bureau: Has received honoraria from AbbVie, Celgene, Chugai, Gilead, Janssen, Eli Lilly, Pfizer, Roche and UCB., Shirish Dubey: None declared.

Tinospora Cordifolia (Giloy)-Induced Liver Injury During the COVID-19 Pandemic-Multicenter Nationwide Study From India

Tinospora cordifolia (Giloy) is an herbal supplement commonly used in the Indian alternative medicine system Ayurveda. This herb has been promoted to the public in India as an immune booster to prevent novel coronavirus disease 2019. However, small reports have recently shown an association between Giloy use and the development of herb-induced liver injury (HILI) with autoimmune features in some patients. This large retrospective Indian multicenter study spanning 13 centers at nine locations was designed to identify features and outcomes of HILI temporally associated with Giloy use. Chemical and toxicological analyses of retrieved Giloy samples using state-of-the-art methods were also performed. We report 43 patients, of whom more than half were female, with a median time from initial Giloy consumption to symptom onset of 46 days. Patients presented with acute hepatitis, acute worsening of chronic liver disease (CLD, the most common clinical presentation), or acute liver failure. Causality assessment revealed probable liver injury in 67.4%. The most common autoantibody detected was anti-nuclear antibody. Liver biopsy in a subset revealed HILI associated with autoimmune features and hepatocyte and canalicular cholestasis and neutrophilic and eosinophilic infiltration. Conclusion: Giloy is associated with acute hepatitis with autoimmune features and can unmask autoimmune hepatitis (AIH) in people with silent AIH-related CLD. Further studies on the safety (and efficacy) of untested but heavily promoted herbals in alternative systems of medicine are an unmet need in the interests of public health and are especially important during this global health emergency.

Air pollution prediction with machine learning: a case study of Indian cities

The survival of mankind cannot be imagined without air. Consistent developments in almost all realms of modern human society affected the health of the air adversely. Daily industrial, transport, and domestic activities are stirring hazardous pollutants in our environment. Monitoring and predicting air quality have become essentially important in this era, especially in developing countries like India. In contrast to the traditional methods, the prediction technologies based on machine learning techniques are proved to be the most efficient tools to study such modern hazards. The present work investigates six years of air pollution data from 23 Indian cities for air quality analysis and prediction. The dataset is well preprocessed and key features are selected through the correlation analysis. An exploratory data analysis is exercised to develop insights into various hidden patterns in the dataset and pollutants directly affecting the air quality index are identified. A significant fall in almost all pollutants is observed in the pandemic year, 2020. The data imbalance problem is solved with a resampling technique and five machine learning models are employed to predict air quality. The results of these models are compared with the standard metrics. The Gaussian Naive Bayes model achieves the highest accuracy while the Support Vector Machine model exhibits the lowest accuracy. The performances of these models are evaluated and compared through established performance parameters. The XGBoost model performed the best among the other models and gets the highest linearity between the predicted and actual data.

An Overview of Vehicular Emission Standards

In India, the ambient air quality has been degrading from past few decades especially in urban areas. Vehicular emissions are amongst one of the major reasons for the deterioration of ambient air quality in such areas. This article is an effort to review the vehicular emission standards of the major countries (USA, Europe, Japan and Australia) and compare with Indian emission standards. However, there exists several differences in present emission standards followed by different countries. For instance, emission standards in USA are fuel neutral, while no separate weight categorization exists among light-duty vehicles (LDVs). In Europe, Japan, Australia and India, separate weight categorization and emission limits for both petrol and diesel vehicles are provided. It was observed that different driving test cycles used by different countries are the reasons for numerical differences in vehicular emission standards. To rectify this, a worldwide harmonized test cycle (WHTC) is introduced by United Nations Economic Committee for Europe (UNECE) that would represent real-world driving and verifies that the statutory emission limits are not exceeded during actual driving. Countries like Japan and Europe have already been following the WHTC, while some other countries may introduce the same in near future. Yet the real-world emissions across the world keeps on diverging. In such situation, harmonization of vehicle emission standards worldwide is a bit challenging, based on dynamics of road conditions, driving patterns, environmental conditions, etc. Thus, more concerted research is needed for evolution of a common universal emission standards implementable worldwide so that the uniformity in information and policies available to the common public could be maintained.

Spontaneous Miscarriage Management Experience: A Systematic Review

Background: The estimated frequency of spontaneous miscarriage is about a quarter of all clinically identified pregnancies in the United States. Women typically go to the emergency department (ED) or outpatient clinic when they experience symptoms, including but not limited to vaginal bleeding, abdominal pain, and contractions. The care that is provided varies from place to place.

Methods: Researchers searched articles from 2010 to 2021 for reports mentioning treatment for spontaneous abortion. Search terms included "miscarriage aftercare" and "spontaneous abortion care," seeking articles addressing the psychological effects of miscarriage and reporting patient experiences in different clinical settings. Data were independently reviewed, graded for evidence quality, and assessed for risk bias using the AMSTAR checklist.

Results: The search strategy yielded 2,275 articles, six of which met the inclusion criteria. Conservative, medical, and surgical management were provided, with surgical management being more common among women with higher education and socioeconomic status. All qualitative studies reported dissatisfaction with care provided in the emergency department, partially due to a lack of emotional support. Structured bereavement intervention was beneficial for women experiencing early pregnancy loss and led to fewer reports of despair. The quantitative studies referenced interventions that aided patients in coping with pregnancy loss and identified several factors influencing the type of treatment received as well as the patient's ability to cope with feeling depressed following a miscarriage.

Conclusion: Psychological management is not regularly addressed in the emergency department, and protocols including bereavement education for healthcare providers as well as patient involvement in management would improve the overall patient experience with spontaneous miscarriage care.

Gender-based differences in primary percutaneous coronary intervention in patients with myocardial infarction from a developing country: A retrospective cohort study

Introduction

Limited data exists about gender's impact on differences in risk factors and outcomes in our setting. Therefore, we sought to ascertain sex-related differences in patients with AMI in our setting.

Material and methods

This retrospective study analyzed data from 247 myocardial infarction patients hospitalized in a tertiary care hospital, between March and October 2020. After hospital admission, all patients underwent ECG, myocardial enzymes, troponin and other biochemical tests followed by primary PCI.

Results

Patients were divided in two groups male (n = 153, mean age 55.2 ± 11.0 years) and female (n = 94, mean age 58.4 ± 12.7 years). The prevalence of smoking was higher in males than females (22.8% vs. 3.1%, p < 0.01) and so was history of three-vessel disease (3VD; 18.9% vs. 7.4%, p = 0.013). History of myocardial infarction was lower in females than males (13.8% vs. 24.8%, p = 0.03) however the age did not vary significantly between the two groups (p = 0.21). Serum creatinine (sCr) levels (1.0 ± 0.77 μmol/L vs. 1.2 ± 0.73 μmol/L, p = 0.28) and body mass index (28.4 ± 5.3 vs 27.4 ± 4.8, p = 0.45) were lower in females as compared to males, however not statistically significant. The incidence of major adverse events, severe arrhythmia and in-hospital outcomes showed no significant difference (p > 0.05) between the two groups. Post-op TIMI score and average length of hospital stay were not statistically different either (3.29 ± 2.9 vs. 2.6 ± 1.7, p = 0.726).

Conclusion

Our study shows that females have a comparable age of onset of major cardiovascular events as that of males. Post-PCI clinical outcomes and in-hospital stay had no significant differences between the two groups.

What is already known on this topic:•

Limited data exists about gender's impact on differences in risk factors and outcomes STEMI in developing countries like Pakistan.

•

Previous analyses on gender disparities have revealed higher mortality in females compared to males when hospitalized for STEMI.

What this study adds:

•

The incidence of major adverse events during in-hospital stay showed no significant difference among gender.

•

The prevalence of smoking and 3VD in males was higher than in females. Despite of differences in co-morbidities between the groups, clinical outcomes remained consistent.

Instruction strategies for drug calculation skills: A systematic review of the literature

BACKGROUND

Medication errors and unsafe medication practices are a leading cause of injury and avoidable harm worldwide.

OBJECTIVES

The aim of this review was to (i) explore and identify evidence-based strategies to teach medication calculation skills by determining the most common errors and assess the quality, level, and role of the evidence, and (ii) describe instruction strategies for drug calculation skills development or improvement based on seven research-based principles for smart teaching.

DESIGN

Systematic review.

DATA SOURCES

CINAHL, PubMed, and PsycINFO.

REVIEW METHODS

The review followed Whittemore and Knafl's framework steps with an assessment of the studies reporting using PRISMA, STROBE, COREQ and categorizing their methods by evidence hierarchy and roles. Two authors independently assessed eligibility and extracted data.

RESULTS

From the total 1793 articles, 51 studies met the eligibility criteria. The studies included 9210 nursing students/nurses and mainly used a quantitative approach (67.5%), followed by qualitative (22.5%) and mixed methods (10.0%), with the students/nurses doing arithmetic and conceptual mistakes. The findings presented were low levels of evidence III (23.5%) and V (41.2%), quality Level B (82.4%), and 47.1% focused on choosing the appropriate teaching and intervention approaches (role of the evidence). The teaching strategies addressed multiple smart teaching principles, but mainly prior knowledge (principle 1, 39.2%). The least used strategies were those addressing the levers that influence motivation and behaviors such as value, expectations, and environment climate (principle 3, 13.7%). Two studies addressed five principles simultaneously.

CONCLUSIONS

Regarding teaching strategies, the most recurring strategies were early diagnostic assessments on knowledge, anxiety and/or self-confidence, considering knowledge organization with scaffolding complex tasks, being explicit about objectives and expectations, and usage of e-learning. However, e-learning was mainly used after 2018. Considering the low levels and quality of evidence, we recommend higher levels of research design for future research. Randomized Controlled Trials could be conducted when randomizing teaching methods per semester or questions embedded in software. Web-base software could be used to support teaching and research approaches.

Comparative Evaluation of Microleakage of Three Different Restorative Materials (Cention N, Zirconomer Improved and Glass Hybrid Restorative System) in Class V Cavity Restoration Using Stereomicroscope: In vitro Study

Aim and Objective: Microleakage is the most important factor responsible for the destruction of restoration margins. The aim of this study was to compare and evaluate the microleakage of three different restorative materials namely glass hybrid restorative system, zirconomer improved and Cention N under stereomicroscope. Materials and Methods: In this in-vitro experimental study, 45 Class V cavities were prepared on the buccal surface of maxillary premolars. The prepared cavities were divided into three groups for restoration with Cention N(group I), Zirconomer Improved(group II), Equiaforte (group III). All the samples were thermocycled for 500 cycles between 5-55°C initially and then immersed in 0.5% methylene blue for 24 hours before sectioning. All the sectioned samples were observed for microleakage under a stereomicroscope. Results: Data was analyzed using one way ANOVA test for comparison between three groups and the result revealed statistically significant difference between the groups(p<0.05). Post hoc Tukey test was used for intergroup comparison and it was observed that both Cention and Equiaforte are inferior to Zirconomer improved in terms of microleakage (p<0.05). Conclusion: Zirconomer improved exhibited lower microleakage when compared to Cention N and Equiaforte cements.

Reinduction of the Temporarily Deferred Donors for Laying the Foundation of Safe and Sustainable Blood Supplies: A Review in the Indian Context

Temporarily deferred donors are a forgotten pool of potential blood source. When dealt appropriately, they can easily be inducted back to the main stream pool of voluntary donors. Although there are multiple studies from India on the deferral rates and patterns; not much has been done with respect to the follow up of these donors and active efforts to bring them back to donate blood. In this narrative review, we discuss the impact of temporary deferral, factors affecting the return and appropriate strategies to improve the return rate of these donors.

Experimental investigations and multi criteria optimization during machining of A356/WC MMCs using EDM

In the current paper, the authors are intended to manufacture the aluminum based metal matrix composite (MMC) employing the stir casting process. Further, the fabricated composite sample is investigated for machining characteristics during the die sink electrical discharge machining process (EDM). EDM is most commonly employed to satisfy the special needs of industry such as developing deep holes and complex contours from high strength materials such as composites, alloys, smart materials, and functionally graded materials. In the current study A356 and 4%, tungsten carbide (WC) powder are considered as matrix and strengthening materials respectively to fabricate the MMCs. During the machining activity, the input factors like discharge current (Ip), Voltage (Vg), Pulse On-Time (Ton), and flushing pressure (P) are optimized for achieving optimum surface roughness (SR), Tool Wear Rate (TWR) and Material Removal Rate (MRR). To estimate the ideal set of process factors grey regression analysis (GRA) is used. From the results, it was observed that the GRA is found to perform better than the RSM.

Prophylactic Perioperative Terlipressin Therapy for Preventing Acute Kidney Injury in Living Donor Liver Transplant Recipients: A Systematic Review and Meta-Analysis

Background

Acute kidney injury (AKI) is common in the perioperative transplant period and is associated with poor outcomes. Few studies reported a reduction in AKI incidence with terlipressin therapy by counteracting the hemodynamic alterations occurring during liver transplantation. However, the effect of terlipressin on posttransplant outcomes has not been systematically reviewed.

Methods

A comprehensive search of electronic databases was performed. Studies reporting the use of terlipressin in the perioperative period of living donor liver transplantation were included. We expressed the dichotomous outcomes as risk ratio (RR, 95% confidence interval [CI]) using the random effects model. The primary aim was to assess the posttransplant risk of AKI. The secondary aims were to assess the need for renal replacement therapy (RRT), vasopressors, effect on hemodynamics, blood loss during surgery, hospital and intensive care unit (ICU) stay, and in-hospital mortality.

Results

A total of nine studies reporting 711 patients (309 patients in the terlipressin group and 402 in the control group) were included for analysis. Terlipressin was administered for a mean duration of 53.44 ± 28.61 h postsurgery. The risk of AKI was lower with terlipressin (0.6 [95% CI, 0.44-0.8]; P = 0.001). However, on sensitivity analysis including only four randomized controlled trials (I² = 0; P = 0.54), the risk of AKI was similar in both the groups (0.7 [0.43-1.09]; P = 0.11). The need for RRT was similar in both the groups (0.75 [0.35-1.56]; P = 0.44). Terlipressin therapy reduced the need for another vasopressor (0.34 [0.25-0.47]; P < 0.001) with a concomitant rise in mean arterial pressure and systemic vascular resistance by 3.2 mm Hg (1.64-4.7; P < 0.001) and 77.64 dyne cm^-1.sec^-5 (21.27-134; P = 0.007), respectively. Blood loss, duration of hospital/ICU stay, and mortality were similar in both groups.

Conclusions

Perioperative terlipressin therapy has no clinically relevant benefit.

Synthesis of NaYF4:Ho3+/Yb3+ colloidal upconversion phosphor and its application for OCT-based imaging, temperature sensing, fingerprinting and security ink

In this work, an NaYF4:Ho3+/Yb3+ upconversion phosphor in colloidal form was synthesized and then its suitability for image contrast enhancement in optical coherence tomography (OCT) and photothermal (PT) OCT imaging was analysed.

Monitoring of Chemical Markers in Extraction of Traditional Medicinal Plants (Piper nigrum, Curcuma longa) Using In Situ ReactIR

BACKGROUND

The fingerprinting and quantification of marker compounds from medicinal plants is a domain of the herbal industry for quality/quantity control parameters.

OBJECTIVE

The main objective of this study is the application of the in situ ReactIR technique for measuring the concentration of different components during the extraction process of different medicinal plants.

METHOD

In this study we have performed the extraction of two-marker compounds, viz. piperine from Piper nigrum and curcumin from Curcuma longa plants, using various solvents (dichloromethane and methanol). The progress of extraction was monitored using an in situ Fourier transform infrared (FTIR) probe instrument and an automated reactor.

RESULTS

In this communication, using the in situ ReactIR technique we developed a method which demonstrates the relative quantification of marker analytes, optimizes extraction time and type of solvents to be used for different analytes during the extraction process.

CONCLUSIONS

To the best of our knowledge, this is the first report of relative quantification and structural information of marker compounds during the process of extraction using in situ FTIR.

HIGHLIGHTS

The present study highlights the real-time monitoring, in situ quantification, and structural information of marker compounds during the process of extraction of medicinal plants using in situ FTIR.

O-172 Metabolic imaging of cumulus cells to predict embryo implantation potential

Study question

Can non-invasive metabolic imaging detect variations in cumulus cell metabolic parameters associated with a viable pregnancy of the corresponding embryo?

Summary answer

Noninvasive metabolic imaging can detect differences in the cumulus cell metabolic signatures between embryos that led to a viable pregnancy and those that did not. 

What is known already

Bidirectional metabolic cooperativity between the human oocyte and its surrounding cumulus cells is essential for the oocyte to acquire full developmental competency. However, the relationship between cumulus cell metabolism and oocyte viability is not well established. Metabolic imaging uses Fluorescence Lifetime Imaging Microscopy (FLIM) to non-invasively measure autofluorescence of the endogenous molecules, NADH and FAD+, which are essential coenzymes for cellular respiration and glycolysis. This technique enables quantitative information for these coenzyme concentrations and regarding metabolite enzyme engagement. We have previously shown that this technique is an effective tool for quantitatively measuring metabolic state of mouse embryos.

Study design, size, duration

Cumulus cell clusters (n = 617 from 193 patients) were dissected from cumulus-oocyte complexes prior to insemination or ICSI, vitrified, warmed and their metabolic function assessed. We conducted a prospective observational study to evaluate to what extent cumulus cells from an oocyte that led to a viable pregnancy (presence of a viable fetus &gt;7 weeks gestation) after transfer of the corresponding embryo metabolically differed from those that did not. We also evaluated the associations with embryo morphology.

Participants/materials, setting, methods

Cumulus cell metabolism was assessed non-invasively using FLIM to measure the autofluorescence of NADH and FAD+. Overall a single FLIM measurement provides a total of 8 metabolic parameters (4 for NADH and 4 for FAD+). An additional parameter, the Redox Ratio was also acquired (NADH intensity / FAD+ intensity). We used multilevel models to investigate the association of cumulus cell metabolic parameters with the morphology of the corresponding embryo and clinical outcome.

Main results and the role of chance

Of the cumulus samples analyzed, 75 corresponded to embryos that did not result in a viable pregnancy, and 24 that did so. Significant associations were observed between cumulus cell FAD+ fraction bound to enzyme (p = 0.007), FAD+ long lifetime (p = 0.01) and FAD+ short lifetime (p &lt; 0.001) and the clinical outcome of the corresponding embryo. These significant associations held up after controlling for age. We used a support vector machine algorithm to distinguish between embryos that led to a viable pregnancy and those that did not. The optimum hyperplane derived from a support vector machine algorithm predicted whether a sample with random cumulus cell metabolic parameters will lead to a viable pregnancy or not with an accuracy of 80%. Embryo morphological assessments were stratified as excellent, good, fair and poor. We found no significant associations between cumulus cell metabolic signatures and embryo morphology evaluated on day 3. Significant associations of FAD+ short lifetime (p &lt; 0.001) and day 5 embryo morphology were found. However, these associations were not significant after controlling for age. 

Limitations, reasons for caution

Although we observed significant variations in metabolic parameters, further studies with larger sample sizes are required. Despite our validation studies showing no significant effect of vitrification on cumulus cell metabolic parameters, analyses with fresh clusters are needed to confirm our results.

Wider implications of the findings

Noninvasive FLIM imaging detects metabolic variations of cumulus masses and their association with embryo viability. The ability to correlate metabolic measurements of cumulus clusters, in combination with embryo morphology assessments and patient clinical characteristics, with embryo fate paves the way for this approach to be used in a clinical setting.

Trial registration number

5RO1HD092559-03