
Alliance Research
The seven Alliance institutions work jointly on flagship projects, promoting synergies and exchanging expertise. Their research focuses on the following strategic areas:
- Genomic Health Research, particularly in the field of cancer research
- Synthetic Immunology, which makes it possible to precisely analyze and modify immune processes at the cellular level
- Interinstitutional Early Clinical Trial Units (I-ECTU) to foster collaboration between academia and industry, especially in early-phase clinical studies
- Cardio-Vascular Science, which focuses on cardiovascular diseases
- Multi-Omics Spatially Resolved Analyses, offering new insights into cellular mechanisms through molecular tissue analysis
- AI in Health, integrating AI methods with biomedical data to accelerate the translation of research into clinical practice

MULTI-SPACE is an interinstitutional technology platform housing state-of-the art instrumentations, currently mainly located at both the EMBL Heidelberg and BioQuant of Heidelberg University.

The focus areas of this project are genomic cancer research, research into the phenotypic effects of the composition of the human microbiome, and the field of infection biology in the context of dynamic mutation development of the SARS-CoV-2 and other pathogenic genomes, including new technology development in these areas.

Early Clinical Trials are of central importance in the development and implementation of current preclinical concepts in precision medicine, e.g., in the application of innovative drugs, RNA- or cell-based therapies, new drugs or brain stimulation treatments for mental disorders, and in the development of low-invasive diagnostics.

Ploidy and Organ Physiology; RNA Splicing in Cardiac Disease; Mechanisms of Cardiac Regeneration and Repair; AngioRhytms in Health and Disease.

Innovative methods of analysis based on artificial intelligence and machine learning are already enabling transformative developments in health research. The aim of AI in Health and Life Sciences is to promote top-level research and to make biomedical data usable for innovative applications through systematic networking with outstanding AI research. One outcome of the collaborative spirit among the Health + Life Science Alliance institutions was the AI Health Innovation Cluster, which continues in AI Life Delta.

Synthetic immunology allows to analyze and modify central processes of immune recognition with highest precision at the single cell level. Using DNA nanotechnology and microfluidics, precision and high-throughput tools for characterizing and programming immune cells are being developed.

Microfluidics is an emerging field and is finding use in various disciplines. These range from understanding flow mechanisms, to the generation of synthetic cells with droplet-based microfluidics, continuous flow microfluidics to complex organ-on-a-chip models.

The Alliance promotes community and capacity building for research infrastructure scientists working in core facilities and technology platforms at Alliance institutions.
The project VIPAC (Virtual assessment of Interpersonal Predictors of Aggressive and Cooperative behavior) aims to investigate aggressive and cooperative behavior in dyadic game interactions.

A successful joint technology development is part of the planned expanded collaboration between the two electron microscopy facilities on the Heidelberg campus.

The Zeiss Arivis Vision 4D software now provides a variety of tools for creating pipelines for cell and particle tracking in 3D microscopy - the Alliance supported its use on campus.

The Alliance contributes to the development of broad patient-tailored T cell monitoring and TCR discoveries for therapeutic purposes.

In-depth investigation of the consequences of the alterations in the NAD-ome may open novel avenues for the identification of biomarkers and personalized treatment options for Glioblastoma patients.

A standardized method for testing the effects of pesticides on mosquito larvae reveals new insights into resistance patterns and identifies potential strategies for controlling resistant populations.

A new comprehensive dipeptide-metabolome quantification method via UPLC-MS/MS
A pipeline to identify the spatial organization and dynamics of tumor mutations/protein isoform expression and individual TCR clones

Establishing a pipeline for improved sample preparation and tissue clearing
Genetic deletion of a fibrogenic transcription factor in mice prevented hallmarks of disease and maintained cardiac function until two years of age
Indication for an altered epigenetic profile upon nutrient stress

Investigating immunological processes following pediatric cardiac surgeries
Low-grade invasive method for early stage detection and continuous monitoring of Systemic Lupus Erythematosus Nephritis

Control of computational models, neuromorphic devices, and neurobiological experiments
Unique, biological insights into the molecular composition of EVs from different cellular sources instrumental for the design of synthetic, EV-mimetic drug formulations
Consecutive detection of RNA and protein using the Xenium and Comet platform respectively

In our project, we aimed to develop a protocol to study selected proteins, RNA, and DNA all within the same human tissue sample.
Regulation of cancer- and metastatic-specific metabolic changes
Insights into the mechanistic basis of life history evolution in animals
A library of 450 structurally diverse compounds from 22 different classes of dyes for easy high-throughput screening

Examining the role of the splicosome in high-risk diabetic individuals undergoing lifestyle interventions.
Establishing a next-generation, dual detection inverted selective plane illumination microscope (SPIM) for high-throughput imaging of early mammalian development.

Expression of acoustic reporters in human induced pluripotent stem cell (IPSC)-derived oxytocin neurons for non-invasive gene expression imaging.
Training the sleeping brain: effects of high intensity training on sleep-dependent brain plasticity in major depression.

Developing statistical models to investigate the relationships between the structure, diversity, and naturalness of urban greenspaces and mental health.
Integrative analysis of single cell omics with cellular and functional features of ageing at a whole organ level using machine learning.
Full methylome epigenetic information for nearly 200 individuals and their long-term partners
Prenatal maternal stress on placenta and neurodevelopment
Research on brain metastases
Prenatal maternal stress on placenta and neurodevelopment
Publications
The interinstitutional efforts across the Alliance have resulted in a diverse set of publications. From groundbreaking discoveries to innovative methodologies, these papers give a glimpse into our commitment to advancing research and technology development in the life sciences, with the goal of continuously improving human health and healthcare. Explore a selection of Alliance preprints and publications below.
Barwig, C., Colaco, R., Koch, A.-S., Geiger, S., Curticean, E. R., Wacker, I., Wang, Z., Schmidt, M., Sonn, A., Pashapour, S., Taheri, F., Schröder, R. R., Staubitz, A., & Selhuber-Unkel, C. (2026). Bistable dual-responsive Azobenzene-co-PNIPAM soft microactuators via Two-photon direct laser writing. Adv Intell Syst, 8(3), 2500890. https://doi.org/https://doi.org/10.1002/aisy.202500890
Brandenburg, J. M., Schulze, A., Jenke, A. C., Bhasker, N., Bleser, N., Junger, D., Stern, A., Rivoir, D., Naderi, H., Fritz-Kebede, F., Burgert, O., Maier-Hein, L., Mündermann, L., Bodenstedt, S., Speidel, S., Lozanovski, V. J., Grimminger, P. P., Billeter, A., Klotz, R.,…Wagner, M. (2026). Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study. Eur J Surg Oncol, 52(1), 111174. https://doi.org/https://doi.org/10.1016/j.ejso.2025.111174
Brenner, M., Guennouni, I., Durstewitz, D., Schmidt, S. N. L., Lis, S., Kirsch, P., & Koppe, G. (2026). Data-driven hierarchical digital twins of social interactions. PsyArXiv. https://doi.org/osf.io/preprints/psyarxiv/m6pnq_v2
Dar, S. U. H., Seyfarth, M., Ayx, I., Papavassiliu, T., Schoenberg, S. O., Siepmann, R. M., Laqua, F. C., Kahmann, J., Frey, N., Baeßler, B., Foersch, S., Truhn, D., Kather, J. N., & Engelhardt, S. (2026). Unconditional latent diffusion models memorize patient imaging data. Nat Biomed Eng, 10(3), 458–472. https://doi.org/10.1038/s41551-025-01468-8
Dereddi, R. R., Djannatian, M., Fiore, F., Kalita, D., Verkest, C., Torres, F. B., Möbius, W., Khodaie, B., Ruhwedel, T., Alhalaseh, K., Schifferer, M., Wirth, A., Hill, A., Ottenheijm, R., Patrizi, A., Kann, O., Lechner, S. G., Freichel, M., & Agarwal, A. (2026). Oligodendrocyte mechanotransduction channel TMEM63A regulates myelin sheath geometry. Neuron, 114(4), 699–723.e611. https://doi.org/10.1016/j.neuron.2025.11.009
Diaz-Jimenez, A., Shuldiner, E. G., Somogyi, K., Shih, K. Y., González-Velasco, Ó., Najajreh, M., Kim, S., Akkas, F., Murray, C. W., Andrejka, L., Tsai, M. K., Brors, B., Hofmann, I., Sivakumar, S., Sisoudiya, S. D., Sokol, E. S., Cai, H., Petrov, D. A., Winslow, M. M., & Sotillo, R. (2026). EML4−ALK variant-specific genetic interactions shape lung tumorigenesis. Cancer Discov, 16(1), 46–65. https://doi.org/10.1158/2159-8290.Cd-24-1417
Dimitrov, D., Schrod, S., Rohbeck, M., & Stegle, O. (2026). Interpretation, extrapolation and perturbation of single cells. Nat Rev Genet, 27(5), 349–370. https://doi.org/10.1038/s41576-025-00920-4
Drekolia, M.-K., Mettner, J., Wang, D., Delgado Lagos, F., Koch, C., Hecker, D., Eresch, J., Mao, Y., Bähr, M., Weichenhan, D., Cordero, J., Wittig, J., Zhang, B., Cui, H., Li, X., Oo, J. A., Weigert, A., Siragusa, M., Klatt, S.,…Bibli, S.-I. (2026). Cystine import and oxidative catabolism fuel vascular growth and repair via nutrient-responsive histone acetylation. Cell Metab, 38(1), 115–134.e120. https://doi.org/https://doi.org/10.1016/j.cmet.2025.10.003
González-Velasco, Ó., Parlato, R., Yilmaz, R., Decker, L., Menge, S., Freischmidt, A., Yang, X., Tulasi, N., Brenner, D., Andersen, P. M., Forsberg, K. M. E., Schlachetzki, J. C. M., Brors, B., Voith von Voithenberg, L., & Weishaupt, J. H. (2026). Somatic gene mutations in the motor cortex of patients with sporadic amyotrophic lateral sclerosis. Brain, 149(3), 778–784. https://doi.org/10.1093/brain/awaf460
Haist, M., Baertsch, M.-A., Reticker-Flynn, N. E., Lu, G., Kempchen, T. N., Chu, P., Vazquez, G., Chen, H., Sunwoo, J. B., Zhang, W., Laseinde, E., Adami, B., Zimmer, S., Kaufman, J., Le, Q. T., Gentles, A. J., Kong, C. S., Plevritis, S. K., Goltsev, Y.,…Nolan, G. P. (2026). Lymph node colonization induces tissue remodeling via immunosuppressive fibroblast-myeloid cell niches supporting metastatic tolerance. Cancer Cell, 44(3), 604–623.e609. https://doi.org/10.1016/j.ccell.2026.01.003
Li, K., Potel, C. M., Becher, I., Hüttmann, N., Garrido-Rodriguez, M., Schwarz, J., Burtscher, M. L., & Savitski, M. M. (2026). High-throughput peptide-centric local stability assay extends protein–ligand identification to membrane proteins, tissues and bacteria. Nat Struct Mol Biol, 33(1), 184–192. https://doi.org/10.1038/s41594-025-01699-y
Lin, Y.-H., Kompa, J., Sun, D.-e., Mao, R., Koch, B., Hinnah, K., Wilhelm, J., Franz, N., Kühn, S., Menche, T., Adow, A., Breuer, P., Hiblot, J., & Johnsson, K. (2026). A high-affinity split-HaloTag for live-cell protein labeling. Nat Commun, 17(1), 2865. https://doi.org/10.1038/s41467-026-71032-8
Lin, Y., Hashemi, Z., Zhang, Q., Di, Y., Behera, T., Gahn, J., Banerjee, K., Wu, F., Andorfer, K., Singhal, M., Seebauer, C., & Ola, R. (2026). Flow-induced Klf4-Akt signaling links EC cycling to mural cell defects in arterial-venous malformations. Theranostics, 16(9), 4905–4922. https://doi.org/10.7150/thno.121154
Malych, R., Bordat, Y., Klanicová, K., Arbon, D., Zahedifard, F., Šipková, A., Drncová, E., Levytska, V., Mach, J., Plutowski-Wrobel, L., Machado, M., Štursa, J., Truksa, J., Ganter, M., Sojka, D., Zoltner, M., Besteiro, S., Werner, L., & Sutak, R. (2026). Modular design of mitochondrion-targeted iron chelators allows highly selective antiparasitic activity against trypanosomes and apicomplexan parasites. ACS Infect Dis, 12(1), 119–127. https://doi.org/10.1021/acsinfecdis.5c00548
Milanesi, M., Urbinati, C., Zimmermann, L., Oreste, P., Zani, A., Caruso, A., Caccuri, F., Laketa, V., Chlanda, P., Wade, R. C., Rusnati, M., & Paiardi, G. (2026). K5 polysaccharides inhibit SARS-CoV-2 infection by preventing spike-proteolytic priming. npj Viruses, 4(1), 3. https://doi.org/10.1038/s44298-025-00163-4
Ong, J. K., Bhunia, S., Hilbert, B., Kirschner, V., Duglosz, S., Zimmermann, F., Freichel, M., & Cornean, A. (2026). ABE9 fused to SpRY Cas9 nickase enables precise generation of bystander free mouse models. Sci Rep, 16(1), 7463. https://doi.org/10.1038/s41598-026-40642-z
Ottenheijm, R., Winterberg, K., Throm, V., Malz, M. V., Bukva, M., Tsvilovskyy, V., Medert, R., Guse, A. H., & Freichel, M. (2026). JPT2/HN1L functions as an NAADP-binding protein in a cell-type-specific manner. bioRxiv, 2025.2011.2011.687795. https://doi.org/10.1101/2025.11.11.687795
Roseth, I. A., Hatscher, L., Schiller, C., Johnstuen, H. S. S., Slørdahl, T. S., Hov, H., Schapiro, D., & Standal, T. (2026). Multiplexed imaging reveals immune-metabolic niches in multiple myeloma linked to progression and bone disease. Blood Cancer Discov. https://doi.org/10.1158/2643-3230.Bcd-25-0334
Scarlatti, F., Dormegny-Jeanjean, L., Schefzik, R., Foucher, J. R., Banaschewski, T., Bokde, A. L. W., Brühl, R., Desrivières, S., Garavan, H., Gowland, P., Grigis, A., Heinz, A., Martinot, J.-L., Paillère Martinot, M.-L., Artiges, E., Papadopoulos Orfanos, D., Poustka, L., Smolka, M. N., Hohmann, S.,…Consortium, I. (2026). Neural and psychosocial signatures of the comorbidity between pain and affective symptoms. PAIN Reports, 11(1). http://dx.doi.org/10.1097/PR9.0000000000001353
Schiller, C., Ibarra-Arellano, M. A., Bestak, K., Tanevski, J., & Schapiro, D. (2026). Comparison and optimization of cellular neighbor preference methods for quantitative tissue analysis. Nat Commun, 17(1), 3514. https://doi.org/10.1038/s41467-026-71699-z
Schroers, J., Yang, Y., Reyhan, E., Sivapalan, N., Ismail-Zade, E., Heuer, A., Scheck, J. G., Pourkhalili Langeroudi, A., Alhalabi, O. T., Moghiseh, T., Fischer, M., Batra, D., Jende, J., Sahm, F., Suchorska, B., Ippen, F. M., Heiland, D. H., Karreman, M. A., Ricklefs, F. L.,…Venkataramani, V. (2026). Voxel-accurate MRI-microscopy correlation enables AI-powered prediction of brain disease states [Research Paper]. Theranostics, 16(10), 5440–5462. https://doi.org/10.7150/thno.125235
Stoffel, M., Stevenson-Hoare, J., Schöttker, B., Hammer, J., Brenner, H., & Ditzen, B. (2026). The experience of social loss and epigenome-wide DNA methylation. Soc Sci Med, 388, 118718. https://doi.org/https://doi.org/10.1016/j.socscimed.2025.118718
Wang, Y., Shi, H., Wittig, J., Ren, Y., Cordero, J., Dewenter, M., Mella, J., Buchwalter, A., Backs, J., Wieland, T., Heineke, J., Fleming, I., Bibli, S.-I., & Dobreva, G. (2026). Lamin A/C-regulated cysteine catabolic flux modulates stem cell fate through epigenome reprogramming. Nat Metab, 8(2), 431–453. https://doi.org/10.1038/s42255-025-01443-2
Acari, A., Lodha, P., Özhan, S., Hemanna, S., Rieck, J., Drotleff, B., & Dieterich, L. C. (2025). A deep, quantitative lipid atlas of extracellular vesicles across multiple cell lines. bioRxiv. https://doi.org/10.1101/2025.08.22.671852
Adamiak, M., Grinblat, Y., Psotta, J., Fulman, N., Mazumdar, H., Tang, S., & Zipf, A. (2025). Deep learning enhanced road traffic analysis: Scalable vehicle detection and velocity estimation using PlanetScope imagery. Int J Appl Earth Obs Geoinf, 142, 104707. https://doi.org/https://doi.org/10.1016/j.jag.2025.104707
Babin-Ebell Gonçalves, A., Mao, Y., Baljkas, T., Wiedmann, F., Eis, L., Pilz, F., Winkler, M., Kürschner-Zacharias, S. W., Hoffarth, M., Funaya, C., Shahidi, R., Géraud, C., Wu, C.-C., Schmidt, C., Goerdt, S., Reiners-Koch, P.-S., & Singhal, M. (2025). A perfusion-independent high-throughput method to isolate liver sinusoidal endothelial cells. Commun Biol, 8(1), 22. https://doi.org/10.1038/s42003-025-07458-5
Baumann, A., Ayala, L., Studier-Fischer, A., Sellner, J., Özdemir, B., Kowalewski, K.-F., Ilic, S., Seidlitz, S., & Maier-Hein, L. (2025). Neural illumination calibration for surgical workflow-optimized spectral imaging. Int J Comput Assist Radiol Surg. https://doi.org/10.1007/s11548-025-03525-8
Bencun, M., Spreyer, L., Boileau, E., Eschenbach, J., Frey, N., Dieterich, C., & Völkers, M. (2025). A novel uORF regulates folliculin to promote cell growth and lysosomal biogenesis during cardiac stress. Sci Rep, 15(1), 3319. https://doi.org/10.1038/s41598-025-87107-3
Berghaus, N., Hielscher, T., Savran, D., Schrimpf, D., Maas, S. L. N., Preusser, M., Weller, M., Acker, T., Herold-Mende, C., Wick, W., von Deimling, A., & Sahm, F. (2025). Meningiomas: sex-specific differences and prognostic implications of a chromosome X loss. Neuro Oncol, 27(4), 1019–1028. https://doi.org/10.1093/neuonc/noae239
Binder, P., Kudulyte, A., Klaus, S., Höfer, T., Schwarz, U. S., Ganter, M., & Becker, N. B. (2025). Competitive resource allocation drives asynchronous and rapid nuclear multiplication in the malaria parasite. bioRxiv, 2025.2008.2007.669072. https://doi.org/10.1101/2025.08.07.669072
Blattgerste, C., Ferdous, T., Jessen, A., Legnar, M., Rohr, K., Scherl, C., Hesser, J., & Weis, C.-A. (2025). Post-operative tissue fragment puzzling using histopathological vision transformer alignment HiViTAlign. bioRxiv, 2025.2007.2014.664649. https://doi.org/10.1101/2025.07.14.664649
Chih, Y.-C., Dietsch, A. C., Koopmann, P., Ma, X., Agardy, D. A., Zhao, B., De Roia, A., Kourtesakis, A., Kilian, M., Krämer, C., Suwala, A. K., Stenzinger, M., Boenig, H., Blum, A., Pienkowski, V. M., Aman, K., Becker, J. P., Feldmann, H., Bunse, T.,…Bunse, L. (2025). Vaccine-induced T cell receptor T cell therapy targeting a glioblastoma stemness antigen. Nat Commun, 16(1), 1262. https://doi.org/10.1038/s41467-025-56547-w
Constanty, F., Wu, B., Wei, K.-H., Lin, I. T., Dallmann, J., Guenther, S., Lautenschlaeger, T., Priya, R., Lai, S.-L., Stainier, D. Y. R., & Beisaw, A. (2025). Border-zone cardiomyocytes and macrophages regulate extracellular matrix remodeling to promote cardiomyocyte protrusion during cardiac regeneration. Nat Commun, 16(1), 3823. https://doi.org/10.1038/s41467-025-59169-4
Cosenza, M. R., Gaiatto, A., Erarslan Uysal, B., Andrades, Á., Sautter, N. L., Simunovic, M., Jendrusch, M. A., Zumalave, S., Rausch, T., Halavatyi, A., Geissen, E.-M., Eigenmann, J. L., Weber, T., Hasenfeld, P., Benito, E., Stober, C., Cortes-Ciriano, I., Kulozik, A. E., Pepperkok, R., & Korbel, J. O. (2025). Origins of chromosome instability unveiled by coupled imaging and genomics. Nature, 648(8093), 383–393. https://doi.org/10.1038/s41586-025-09632-5
Costea, J., Rauwolf, K. K., Zafferani, P., Rausch, T., Mathioudaki, A., Zaugg, J., Schrappe, M., Eckert, C., Escherich, G., Bourquin, J. P., Bornhauser, B., Kulozik, A. E., & Korbel, J. O. (2025). Role of stem-like cells in chemotherapy resistance and relapse in pediatric T-cell acute lymphoblastic leukemia. Nat Commun, 16(1), 5413. https://doi.org/10.1038/s41467-025-61222-1
Darwis, M. K. A., Levario-Diaz, V., Pashapour, S., Voigt, J. L., Lebaudy, E., Sabani, N., Bakar, A. S. A., Vrana, N. E., Lavalle, P., Cavalcanti-Adam, E. A., & Ngalim, S. H. (2025). Development of polyethylene glycol diacrylate-based micropattern substrate to study the interplay between surface topography and cellular response for tissue engineering applications. Bio Protoc, 15(10), e5323. https://doi.org/10.21769/BioProtoc.5323
Dou, Y., Tetik-Elsherbiny, N., Gao, R., Ren, Y., Chen, Y.-w., Merbecks, M., Setya, A., Lityagina, O., Wang, Y., Chichelnitskiy, E., Abouissa, A., Wu, C.-C., Barreto, G., Potente, M., Wieland, T., Ola, R., Grieshaber, P., Loukanov, T., Gorenflo, M.,…Dobreva, G. (2025). Endothelial RNF20 suppresses endothelial-to-mesenchymal transition and safeguards physiological angiocrine signaling to prevent congenital heart disease. Nat Commun, 16(1), 9480. https://doi.org/10.1038/s41467-025-65291-0
Dupouy, B., Cotos, L., Binder, A., Slavikova, L., Rottmann, M., Mäser, P., Jacquemin, D., Ganter, M., Davioud-Charvet, E., & Elhabiri, M. (2025). Click coupling of flavylium dyes with plasmodione analogues: towards new redox-sensitive pro-fluorophores. Chem Eur J, 31(6), e202403691. https://doi.org/https://doi.org/10.1002/chem.202403691
Fang, L.-P., Lin, C.-H., Medlej, Y., Zhao, R., Chang, H.-F., Guo, Q., Wu, Z., Su, Y., Zhao, N., Gobbo, D., Wyatt, A., Wahl, V., Fiore, F., Tu, S.-M., Boehm, U., Huang, W., Bian, S., Agarwal, A., Lauterbach, M. A.,…Bai, X. (2025). Oligodendrocyte precursor cells facilitate neuronal lysosome release. Nat Commun, 16(1), 1175. https://doi.org/10.1038/s41467-025-56484-8
Foltyn-Dumitru, M., Banan, R., Schell, M., Mahmutoglu, M. A., Kessler, T., Wick, W., Brugnara, G., Bendszus, M., Sahm, F., & Vollmuth, P. (2025). Histopathological and molecular characteristics of IDH-wildtype glioblastoma without contrast enhancement: implications for clinical outcomes. Neuro Oncol, 27(7), 1878–1887. https://doi.org/10.1093/neuonc/noaf070
Foltyn-Dumitru, M., Mahmutoglu, M. A., Brugnara, G., Kessler, T., Sahm, F., Wick, W., Heiland, S., Bendszus, M., Vollmuth, P., & Schell, M. (2025). Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors. Eur Radiol, 35(3), 1351–1360. https://doi.org/10.1007/s00330-024-11042-6
Fulman, N., Memduhoğlu, A., & Zipf, A. (2025). Utilizing large language models to simulate parking search. Transp Res Part A Policy Prac, 199, 104542. https://doi.org/https://doi.org/10.1016/j.tra.2025.104542
Ganzinger, M., Kunz, N., Fuchs, P., Lyu, C. K., Loos, M., Dugas, M., & Pausch, T. M. (2025). Automated generation of discharge summaries: leveraging large language models with clinical data. Sci Rep, 15(1), 16466. https://doi.org/10.1038/s41598-025-01618-7
Georgiopoulos, G., Athanasopoulos, S., Mavraganis, G., Konstantaki, C., Papaioannou, M., Delialis, D., Angelidakis, L., Sachse, M., Papoutsis, D., Cavlan, B., Tual-Chalot, S., Zervas, G., Sopova, K., Mitrakou, A., Stellos, K., & Stamatelopoulos, K. (2025). Incremental value of blood-based markers of liver fibrosis in cardiovascular risk stratification. J Clin Endocrinol Metab, 110(4), 1115–1127. https://doi.org/10.1210/clinem/dgae619
Ghanad, E., Weiß, C., Gao, H., Reißfelder, C., Hummedah, K., Han, L., Tong, L., Li, C., & Yang, C. (2025). GPT versus ERNIE for national traditional Chinese Medicine licensing examination: does cultural background matter? J Clin Invest, 31(9), 844–848. https://doi.org/10.1089/jicm.2024.0902
Ghigo, A., Ameri, P., Asnani, A., Bertero, E., de Boer, R. A., Farmakis, D., González, A., Heymans, S., Ibáñez, B., López-Fernández, T., Lyon, A. R., Pollesello, P., Rakisheva, A., Stellos, K., Streckfuss-Bömeke, K., Tocchetti, C. G., Thum, T., van der Meer, P., Van Rooij, E.,…Van Linthout, S. (2025). Update on preclinical models of cancer therapy-related cardiac dysfunction: challenges and perspectives. A scientific statement of the Heart Failure Association (HFA) of the ESC, the ESC Council of cardio-oncology, and the ESC working group on cellular biology of the heart. Eur J Heart Fail, 27(6), 1028–1046. https://doi.org/10.1002/ejhf.3636
Godau, P., Kalinowski, P., Christodoulou, E., Reinke, A., Tizabi, M., Ferrer, L., Jäger, P., & Maier-Hein, L. (2025). Navigating prevalence shifts in image analysis algorithm deployment. Med Image Anal, 102, 103504. https://doi.org/https://doi.org/10.1016/j.media.2025.103504
González-Velasco, O., Simon, M., Yilmaz, R., Parlato, R., Weishaupt, J., Imbusch, Charles D., & Brors, B. (2025). Identifying similar populations across independent single cell studies without data integration. NAR Genom Bioinform, 7(2), lqaf042. https://doi.org/10.1093/nargab/lqaf042
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