Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
A prognostic nomogram for all frequencies sudden sensorineural hearing loss based on the commixed index of inflammatory–immune–hemostasis–nutrition
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 01 April 2026

A prognostic nomogram for all frequencies sudden sensorineural hearing loss based on the commixed index of inflammatory–immune–hemostasis–nutrition

  • Zhong Zheng1,2,3 na1,
  • Liang Xia1,2 na1,
  • Xiaoyan Chen1,2 na1,
  • Yi Chen1,2,
  • Kexin Song1,2,
  • Lili Xiao1,2,
  • Niannian Li1,2,
  • Fuquan Chen3,
  • Hui Li4 &
  • …
  • Yanmei Feng1,2 

Scientific Reports , Article number:  (2026) Cite this article

  • 12 Accesses

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomarkers
  • Neurological disorders
  • Outcomes research

Abstract

All-frequencies sudden sensorineural hearing loss (AF-SSNHL) is a common otology emergency that greatly impacts patient’s quality of life. Given that inflammatory-immune-hemostasis-nutrition-related parameters are commonly reported prognostic factors, this study aimed to compare and evaluate the clinical value of such parameters to develop a prognostic nomogram. The analysis prospectively enrolled 245 patients with AF-SSNHL patients from August 2018 to May 2022. Patients were divided into training and validation cohorts randomly. The predictive values of the hematological indexes were calculated by receiver operating characteristic analysis, and predictive abilities were evaluated using logistic regression. A predictive prognostic model was developed using logistic regression and internally/external validated using calibration curves, decision curve analysis, and ROC analysis; a nomogram was constructed as its graphical representation. The prognostic nutritional index (PNI) and neutrophil lymphocyte D-dimer albumin score (NLDA) were superior to other hematological indexes in predicting the outcome of AF-SSNHL. The predictive prognostic model revealed that a high value of NLDA [odds ratio (OR), 4.363; 95% confidence interval (CI), 0.828–10.416; P < 0.05] and a low level of PNI (OR, 2.439; 95% CI, 1.188–5.006; P < 0.05) were independent risk factors for ineffective AF-SSNHL treatment. The concordance indexes for internal and external validation of the predictive model were 0.815 (95% CI, 0.754–0.875, P = 0.770) and 0.788 (95% CI, 0.663–0.913, P = 0.348), respectively. The areas under the curves of the nomogram-based predicted probabilities (nomogram scores) were 0.815 (95%CI, 0.754–0.875; P < 0.05) and 0.849 (95%CI, 0.737–0.961; P < 0.05), respectively. PNI and NLDA were superior hematological parameters and independent predictors of AF-SSNHL prognosis. Our predictive model, visualized as a nomogram based on vertigo, hearing level onset, PNI, and NLDA, may facilitate individualized prediction of treatment outcome of AF-SSNHL.

Trial registration: ChiCTR1800017072, https://www.chictr.org.cn/showprojen.aspx?proj=29023, Registration Date: 07/10/2018.

Data availability

The data used to support the findings of this study are available from the corresponding author on reasonable request.

Abbreviations

SSNHL:

Sudden sensorineural hearing loss

AF-SSNHL:

All-frequencies sudden sensorineural hearing loss

MRI:

Magnetic resonance imaging

PTA:

Pure tone average

BMI:

Body mass index

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

WBC:

White blood cell

N:

Neutrophil

L:

Lymphocyte

PLT:

Platelet

D:

D-dimer

Fg:

Fibrinogen

RBC:

Red blood cell

Hb:

Hemoglobin

ALB:

Albumin

NLR:

Neutrophil-to-lymphocyte ratio

PLR:

Platelet-to-lymphocyte ratio

SII:

Systemic immune inflammation index

PNI:

Prognostic nutritional index

NLDA:

Neutrophil lymphocyte D-dimer albumin score

NLFgA:

Neutrophil lymphocyte fibrinogen albumin score

AUC:

Area under the curve

ROC:

Receiver operating characteristic

OR:

Odds ratio

CI:

Confidence interval

DCA:

Decision curve analysis

C-index:

Concordance index

References

  1. Chandrasekhar, S. S. et al. Clinical practice guideline: Sudden hearing loss (Update). Otolaryngol. Head Neck Surg. 161(1_suppl), S1-s45 (2019).

    Google Scholar 

  2. Alexander, T. H. & Harris, J. P. Incidence of sudden sensorineural hearing loss. Otol. Neurotol. Off. Publ. Am. Otol. Soc. Am. Neurotol. Soc. Eur. Acad. Otol. Neurotol. 34(9), 1586–1589 (2013).

    Google Scholar 

  3. Byl, F. M. Seventy-six cases of presumed sudden hearing loss occurring in 1973: prognosis and incidence. Laryngoscope 87 (5 Pt 1), 817–825 (1977).

    Google Scholar 

  4. Mattox, D. E. & Simmons, F. B. Natural history of sudden sensorineural hearing loss. Ann. Otol Rhinol Laryngol. 86 (4 Pt 1), 463–480 (1977).

    Google Scholar 

  5. Carlsson, P. I., Hall, M., Lind, K. J. & Danermark, B. Quality of life, psychosocial consequences, and audiological rehabilitation after sudden sensorineural hearing loss. Int. J. Audiol. 50 (2), 139–144 (2011).

    Google Scholar 

  6. Chen, J., Liang, J., Ou, J. & Cai, W. Mental health in adults with sudden sensorineural hearing loss: An assessment of depressive symptoms and its correlates. J. Psychosom. Res. 75(1), 72–74 (2013).

    Google Scholar 

  7. Surgery EBoCJoOHaN, Association. TOHaNSBoCM. Guideline of diagnosis and treatment of sudden deafness (2015). Chin. J. Otorhinolaryngol. Head Neck Surg. 50(6), 443–447 (2015).

    Google Scholar 

  8. Li, B. H. & Jiang, Z. G. Curative effect analysis of different degree of hearing lossin sudden deafness patients. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 30 (14), 1124–1126 (2016).

    Google Scholar 

  9. Doo, J. G. et al. Biomarkers suggesting favorable prognostic outcomes in sudden sensorineural hearing loss. Int J Mol Sci https://doi.org/10.3390/ijms21197248 (2020).

    Google Scholar 

  10. Warnecke, A. et al. Defining the inflammatory microenvironment in the human cochlea by perilymph analysis: Toward liquid biopsy of the cochlea. Front. Neurol. 10, 665 (2019).

    Google Scholar 

  11. Noble, K., Brown, L., Elvis, P. & Lang, H. Cochlear immune response in presbyacusis: A focus on dysregulation of macrophage activity. J. Assoc. Res. Otolaryngol.: JARO 23(1), 1–16 (2022).

    Google Scholar 

  12. Weiss, B. G. et al. Drug-induced defibrinogenation as new treatment approach of acute hearing loss in an animal model for inner ear vascular impairment. Otol. Neurotol.: Off. Publ. Am. Otol. Soc. Am. Neurotol. Soc. Eur. Acad. Otol. Neurotol. 38(5), 648–654 (2017).

    Google Scholar 

  13. Zheng, Z. et al. Serum Albumin levels as a potential marker for the predictive and prognostic factor in sudden sensorineural hearing loss: A prospective cohort study. Front. Neurol. 12, 747561 (2021).

    Google Scholar 

  14. Zarandy, M. M. et al. Prognosticating hearing outcome in patients with idiopathic sudden sensorineural hearing loss by means of otoacoustic emissions and auditory brainstem response. Ear Nose Throat J. 96 (12), E1–e5 (2017).

    Google Scholar 

  15. Liao, W. H. et al. Revisiting the relationship of three-dimensional fluid attenuation inversion recovery imaging and hearing outcomes in adults with idiopathic unilateral sudden sensorineural hearing loss. Eur. J. Radiol. 85 (12), 2188–2194 (2016).

    Google Scholar 

  16. Chen, W., Geng, Y., Luo, S., Lin, N. & Sha, Y. The correlation of clinical features and endolymphatic hydrops visualized by 3D-real IR MRI in children with sudden sensorineural hearing loss. Ear Nose Throat J https://doi.org/10.1177/01455613211009432 (2021).

    Google Scholar 

  17. Suh, Y. H. et al. T2 relaxation time shortening in the cochlea of patients with sudden sensory neuronal hearing loss: a retrospective study using quantitative synthetic magnetic resonance imaging. Eur. Radiol. 31 (9), 6438–6445 (2021).

    Google Scholar 

  18. Nakashima, T., Suzuki, T., Morisaki, H. & Yanagita, N. Measurement of cochlear blood flow in sudden deafness. Laryngoscope 102 (11), 1308–1310 (1992).

    Google Scholar 

  19. Zheng, Z. et al. Thyroid-related hormone levels in clinical patients with moderately severe-to-profound sudden sensorineural hearing loss: A prospective study. Front. Neurol. 12, 753270 (2021).

    Google Scholar 

  20. Sun, Y. et al. Differences in platelet-related parameters among patients with audiographically distinct sudden sensorineural hearing loss: A retrospective study. Med. (Baltim). 96 (36), e7877 (2017).

    Google Scholar 

  21. Sun, Y. et al. Is nucleate cell count and neutrophil to lymphocyte ratio related to patients with audiographically distinct sudden sensorineural hearing loss? Med. (Baltim). 97 (20), e10586 (2018).

    Google Scholar 

  22. Oya, R., Horii, A., Akazawa, H., Osaki, Y. & Inohara, H. Prognostic predictors of sudden sensorineural hearing loss in defibrinogenation therapy. Acta Otolaryngol. 136 (3), 271–276 (2016).

    Google Scholar 

  23. Oya, R. et al. Serum fibrinogen as a prognostic factor in sudden sensorineural hearing loss: A meta-analysis. Otol. Neurotol.: Off. Publ. Am. Otol. Soc. Am. Neurotol. Soc. Eur. Acad. Otol. Neurotol. 39(10), e929–e935 (2018).

    Google Scholar 

  24. Öçal, R., Akın Öçal, F. C., Güllüev, M. & Alataş, N. Is the C-reactive protein/albumin ratio a prognostic and predictive factor in sudden hearing loss? Braz. J. Otorhinolaryngol. 86 (2), 180–184 (2020).

    Google Scholar 

  25. Dziedzic, T. Systemic inflammation as a therapeutic target in acute ischemic stroke. Expert Rev. Neurother. 15 (5), 523–531 (2015).

    Google Scholar 

  26. Tomiyama, S., Jinnouchi, K., Ikezono, T., Pawankar, R. & Yagi, T. Experimental autoimmune labyrinthitis induced by cell-mediated immune reaction. Acta Otolaryngol. 119 (6), 665–670 (1999).

    Google Scholar 

  27. Solares, C. A., Hughes, G. B. & Tuohy, V. K. Autoimmune sensorineural hearing loss: an immunologic perspective. J. Neuroimmunol. 138 (1–2), 1–7 (2003).

    Google Scholar 

  28. Masuda, M. et al. Correlations of inflammatory biomarkers with the onset and prognosis of idiopathic sudden sensorineural hearing loss. Otol. Neurotol.: Off. Publ. Am. Otol. Soc. Am. Neurotol. Soc. Eur. Acad. Otol. Neurotol. 33(7), 1142–1150 (2012).

    Google Scholar 

  29. Kim, J. et al. Different prognostic value of white blood cell subtypes in patients with acute cerebral infarction. Atherosclerosis 222 (2), 464–467 (2012).

    Google Scholar 

  30. Kum, R. O. et al. Investigation of neutrophil-to-lymphocyte ratio and mean platelet volume in sudden hearing loss. Braz. J. Otorhinolaryngol. 81 (6), 636–641 (2015).

    Google Scholar 

  31. Chen, L. et al. Neutrophil-to-lymphocyte ratio predicts diagnosis and prognosis of idiopathic sudden sensorineural hearing loss: A systematic review and meta-analysis. Med. (Baltim). 97 (38), e12492 (2018).

    Google Scholar 

  32. Seo, Y. J., Jeong, J. H., Choi, J. Y. & Moon, I. S. Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio: novel markers for diagnosis and prognosis in patients with idiopathic sudden sensorineural hearing loss. Dis. Mark. 2014, 702807 (2014).

    Google Scholar 

  33. Michel, O. The revised version of the German guidelines sudden idiopathic sensorineural hearing loss. Laryngorhinootologie 90(5), 290–293 (2011).

    Google Scholar 

  34. Coppinger, J. A. et al. Characterization of the proteins released from activated platelets leads to localization of novel platelet proteins in human atherosclerotic lesions. Blood 103 (6), 2096–2104 (2004).

    Google Scholar 

  35. Acet, H. et al. Relationship between hematologic indices and Global Registry of Acute Coronary Events Risk Score in patients with ST-segment elevation myocardial infarction. Clin. Appl. Thromb. Hemost. 22(1), 60–68 (2016).

    Google Scholar 

  36. Ihler, F., Strieth, S., Pieri, N., Göhring, P. & Canis, M. Acute hyperfibrinogenemia impairs cochlear blood flow and hearing function in guinea pigs in vivo. Int. J. Audiol. 51 (3), 210–215 (2012).

    Google Scholar 

  37. Lowe, G. D. Fibrin D-dimer and cardiovascular risk. Semin Vasc Med. 5 (4), 387–398 (2005).

    Google Scholar 

  38. Alvarez-Perez, F. J., Castelo-Branco, M. & Alvarez-Sabin, J. Usefulness of measurement of fibrinogen, D-dimer, D-dimer/fibrinogen ratio, C reactive protein and erythrocyte sedimentation rate to assess the pathophysiology and mechanism of ischaemic stroke. J. Neurol. Neurosurg. Psychiatry. 82 (9), 986–992 (2011).

    Google Scholar 

  39. Siegbahn, A. et al. D-dimer and factor VIIa in atrial fibrillation - prognostic values for cardiovascular events and effects of anticoagulation therapy. A RE-LY substudy. Thromb. Haemost. 115 (5), 921–930 (2016).

    Google Scholar 

  40. Cadoni, G. et al. Lack of association between inherited thrombophilic risk factors and idiopathic sudden sensorineural hearing loss in Italian patients. Ann. Otol. Rhinol. Laryngol. 115(3), 195–200 (2006).

    Google Scholar 

  41. Gupta, D. & Lis, C. G. Pretreatment serum albumin as a predictor of cancer survival: A systematic review of the epidemiological literature. Nutr. J. 9, 69 (2010).

    Google Scholar 

  42. Deng, S. et al. Albumin/procalcitonin ratio is a sensitive early marker of nosocomial blood stream infection in patients with intra-cerebral hemorrhage. Surg. Infect. (Larchmt) 20(8), 643–649 (2019).

    Google Scholar 

  43. Eckart, A. et al. Relationship of nutritional status, inflammation, and serum albumin levels during acute illness: A prospective study. Am. J. Med. 133(6), 713-722e717 (2020).

    Google Scholar 

  44. Sun, J. et al. Biomarkers of cardiovascular disease and mortality risk in patients with advanced CKD. Clin. J. Am. Soc. Nephrol.: CJASN 11(7), 1163–1172 (2016).

    Google Scholar 

  45. Arques, S. Serum albumin and cardiovascular diseases: A comprehensive review of the literature. Ann. Cardiol. Angeiol. 67 (2), 82–90 (2018).

    Google Scholar 

  46. Ronit, A. et al. Plasma albumin and incident cardiovascular disease: Results from the CGPS and an updated meta-analysis. Arterioscler. Thromb. Vasc Biol. 40(2), 473–482 (2020).

    Google Scholar 

  47. Keaney, J. F. Jr. et al. NO forms an adduct with serum albumin that has endothelium-derived relaxing factor-like properties. J. Clin. Invest. 91 (4), 1582–1589 (1993).

    Google Scholar 

  48. Arroyo, V., García-Martinez, R. & Salvatella, X. Human serum albumin, systemic inflammation, and cirrhosis. J. Hepatol. 61 (2), 396–407 (2014).

    Google Scholar 

  49. Wayner, D. D., Burton, G. W., Ingold, K. U. & Locke, S. Quantitative measurement of the total, peroxyl radical-trapping antioxidant capability of human blood plasma by controlled peroxidation: The important contribution made by plasma proteins. FEBS Lett. 187(1), 33–37 (1985).

    Google Scholar 

  50. Salive, M. E. et al. Serum albumin in older persons: relationship with age and health status. J. Clin. Epidemiol. 45 (3), 213–221 (1992).

    Google Scholar 

  51. Chen, L. et al. Prognostic Nutritional Index (PNI) in patients with breast cancer treated with neoadjuvant chemotherapy as a useful prognostic indicator. Front. Cell. Dev. Biol. 9, 656741 (2021).

    Google Scholar 

  52. Demirtas Inci, S. et al. The role of prognostic nutritional index in patients with non-ST segment elevation acute coronary syndrome. Kardiologiia 61 (1), 59–65 (2021).

    Google Scholar 

  53. Kim, H. Y. et al. Prognostic nutritional index and major adverse cardiac events after burn surgery: A propensity score matching analysis. J. Burn Care Res. https://doi.org/10.1093/jbcr/irab224 (2021).

    Google Scholar 

Download references

Acknowledgements

We thank the participants of this study.

Funding

This study was supported by grants-in-aid from the National Natural Science Foundation of China (No. 82371152 and No. 82171139) and the Joint research project of Pudong New Area Municipal Health Commission PW2020D-9.

Author information

Author notes
  1. These authors contributed equally: Zhong Zheng, Liang Xia and Xiaoyan Chen.

Authors and Affiliations

  1. Department of Otolaryngology–Head and Neck Surgery, Shanghai Sixth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    Zhong Zheng, Liang Xia, Xiaoyan Chen, Yi Chen, Kexin Song, Lili Xiao, Niannian Li & Yanmei Feng

  2. Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China

    Zhong Zheng, Liang Xia, Xiaoyan Chen, Yi Chen, Kexin Song, Lili Xiao, Niannian Li & Yanmei Feng

  3. Department of Otolaryngology, Xijing Hospital, The Air Force Military Medical University, Xi’an, Shaanxi, China

    Zhong Zheng & Fuquan Chen

  4. Department of Ophthalmology, Shanghai Sixth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    Hui Li

Authors
  1. Zhong Zheng
    View author publications

    Search author on:PubMed Google Scholar

  2. Liang Xia
    View author publications

    Search author on:PubMed Google Scholar

  3. Xiaoyan Chen
    View author publications

    Search author on:PubMed Google Scholar

  4. Yi Chen
    View author publications

    Search author on:PubMed Google Scholar

  5. Kexin Song
    View author publications

    Search author on:PubMed Google Scholar

  6. Lili Xiao
    View author publications

    Search author on:PubMed Google Scholar

  7. Niannian Li
    View author publications

    Search author on:PubMed Google Scholar

  8. Fuquan Chen
    View author publications

    Search author on:PubMed Google Scholar

  9. Hui Li
    View author publications

    Search author on:PubMed Google Scholar

  10. Yanmei Feng
    View author publications

    Search author on:PubMed Google Scholar

Contributions

Conceptualization: Zhong Zheng, Liang Xia, Xiaoyan Chen, Yanmei Feng; methodology: Fuquan Chen, and Yanmei Feng; software: Yi chen and Niannian Li; validation: Zhong Zheng and Xiaoyan Chen; formal analysis: Hui Li and Lili Xiao; investigation: Zhong Zheng, Xiaoyan Chen, Kexin Song, Niannian Li, and Lili Xiao; data curation: Yanmei Feng; original draft preparation: Zhong Zheng, Hui Li, review and editing: Fuquan Chen and Yanmei Feng.

Corresponding authors

Correspondence to Fuquan Chen, Hui Li or Yanmei Feng.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

The study protocol was approved and implemented according to the ethical standards of the Shanghai Jiaotong University Affiliated Sixth People’s s Hospital ethics committee. Information of patients was anonymized and de-identified before analysis. The progress was conducted in accordance with the spirit of the Helsinki Declaration. All participants provided written informed consent for their inclusion in the database and the use of their data for research purposes.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1 (download DOCX )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, Z., Xia, L., Chen, X. et al. A prognostic nomogram for all frequencies sudden sensorineural hearing loss based on the commixed index of inflammatory–immune–hemostasis–nutrition. Sci Rep (2026). https://doi.org/10.1038/s41598-026-46821-2

Download citation

  • Received: 16 December 2024

  • Accepted: 27 March 2026

  • Published: 01 April 2026

  • DOI: https://doi.org/10.1038/s41598-026-46821-2

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • All frequencies sudden sensorineural hearing loss
  • Inflammatory–immune–hemostasis–nutrition index
  • Nomogram
  • Prognosis
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research