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3. Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

4. Recommendations for robust and reproducible preclinical research in personalised medicine

5. Recommendations for robust and reproducible preclinical research in personalised medicine

6. Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

10. Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

13. Biomarker context-of-use: how organizational design can impact the implementation of the appropriate biomarker assay strategy

14. A molecular view of amyotrophic lateral sclerosis through the lens of interaction network modules

18. Plasma neurofilament light, glial fibrillary acidic protein and lysosphingolipid biomarkers for pharmacodynamics and disease monitoring of GM2 and GM1 gangliosidoses patients

20. Multiple‐ascending doses of ACT‐1014‐6470, an oral complement factor 5a receptor 1 (C5a1 receptor) antagonist: Tolerability, pharmacokinetics and target engagement.

23. Preclinical to clinical translation of cenerimod, a novel S1P1 receptor modulator, in systemic lupus erythematosus

24. Remote Digital Monitoring for Medical Product Development

25. GATA3 haplo-insufficiency causes human HDR syndrome

27. Traditional and Digital Biomarkers: Two Worlds Apart?

29. Impact of high‐altitude therapy on type‐2 immune responses in asthma patients

30. Traditional and Digital Biomarkers: Two Worlds Apart?

31. Kit ligand promotes first polar body extrusion of mouse preovulatory oocytes

32. Testing statistical significance scores of sequence comparison methods with structure similarity

33. PhyloPat: phylogenetic pattern analysis of eukaryotic genes

34. Remote Digital Monitoring for Medical Product Development.

35. Impact of high‐altitude therapy on type‐2 immune responses in asthma patients.

41. Follicle-stimulating-hormone receptor and twinning

44. Serotonin biosynthesis as a predictive marker of serotonin pharmacodynamics and disease-induced dysregulation

50. Plasma Lysosphingomyelin Demonstrates Great Potential as a Diagnostic Biomarker for Niemann-Pick Disease Type C in a Retrospective Study

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