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Ali Ertürk

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Ali Maximilian Ertürk
Education2009–2014 Postdoctoral fellow, Genentech Inc

2003–2009 Ph.D., Max–Planck–Institute of Neurobiology, Munich

1998–2003 Bachelor of Science, Bilkent University, Ankara
Employer(s)2019–current Director, Helmholtz Munich, Institute for Tissue Engineering & Regenerative Medicine
Known forDeveloping and combining unbiased & scalable technologies for better diagnostics and therapeutics, in particular DISCO whole organ/organism imaging.

Ali Maximilian Ertürk (born September 1980) is a neuroscientist, inventor, and artist living in Munich, Germany. He is the director of a new Helmholtz Institute on Tissue Engineering and Regenerative Medicine (iTERM) in Munich since July 2019 and professor at the medical faculty.[1] After his undergraduate study at Bilkent University in Ankara, he joined Max-Planck-Institute for Neurobiology for his PhD and Genentech Inc. for postdoctoral research.

His is known for invention of DISCO tissue transparency technology and deep learning based analysis of large 3D images in biomedicine.[2][3][4][5][6][7] The methods collectively target to analyze cellular and molecular details of whole organs and bodies.[8][9][10] Ertürk is full (W3) Professor of the Ludwig Maximilian University of Munich[11] and affiliated also with the University of Rochester.[12] He also founded 2 biotechnology companies (Deep Piction and 1X1 Biotech) in 2022 with the aim of creating novel therapies to treat life-threatening illnesses such as cancer, Alzheimer's disease, and heart conditions.

Honors and awards

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  • 1998–2003 Full education scholarship awarded by Bilkent University[13]
  • 2004–2007 Marie Curie PhD fellowship[14]
  • 2014 Offered Sofja Kovalevskaja Award[15] from Humboldt Foundation
  • 2014 ERA-Net Award[16]
  • 2016 Member of Helmholtz Alliance ICEMED[17]
  • 2016 DFG Research Grant[13]
  • 2017 Fritz Thyssen Stiftung Award[18]
  • 2018 NIH RO1[18]
  • 2019 Mentioned as one of the 7 scientists in “Brain gain instead of brain drain in Germany” by Focus Magazine[19]
  • 2019 Cure Alzheimer’s Foundation researcher [20]
  • 2020 ERC Consolidator Grant, European Research Council [21]
  • 2020 Scientific and personal career profiled in Nature Methods [22]
  • 2020 Rolf Becker-Preis [23]
  • 2020  Research highlighted by Focus Magazine
  • 2021  Scientific vision highlighted in Brandeins article  
  • 2021  Nomis Foundation Human Heart Atlas Award[24]
  • 2023  CIFAR Multiscale Human Mapping Awardee
  • 2024  Falling Walls Award in Life Sciences[25]

Entrepreneurial life

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Ali Ertürk is founder of 2 biotechnology companies called Deep Piction and 1X1 Biotech. Deep Piction is a biotechnology company that combines biomedical research, artificial intelligence, engineering, and drug delivery methods to accelerate the development of new treatments for deadly diseases[26]DEEP Piction GmbH | Handelsregisterauszug Bonitätsauskunft. The company's mission is to leverage the power of AI and other advanced technologies to improve the success rates of clinical trials and reduce the time it takes to develop new drugs.

One of Deep Piction's primary aims is to develop new methods to deliver drugs directly to correct cellular targets. By using AI to identify specific targets and design drug delivery systems, the company hopes to improve the efficacy and safety of new treatments. Additionally, Deep Piction is committed to reducing the use of animals in research by moving towards in silico models.

1X1 Biotech is another biotechnology company that uses AI to accelerate drug development. The company's mission is to discover and develop new treatments for diseases with high unmet medical needs, such as cancer and rare genetic disorders. 1X1 Biotech's approach combines machine learning, network biology, and high-throughput screening to identify promising drug candidates and optimize their efficacy.[27][28]

One of 1X1 Biotech's primary aims is to improve the success rates of clinical trials by identifying biomarkers and patient subpopulations that are most likely to respond to a given treatment. By using AI to analyze large amounts of data from clinical trials, the company hopes to improve the precision of drug development and bring new treatments to patients faster.

Overall, Deep Piction and 1X1 Biotech are two promising biotechnology companies that are leveraging the power of AI and other advanced technologies to accelerate drug development and improve the success rates of clinical trials.

Art life

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Ali Ertürk is also known for his landscape and cityscapes photographs.[29][30][31] He had photo art 3 exhibitions (2008 Munich, 2012 San Francisco, 2015 Munich).[32]

References

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  1. ^ "Institutes / Research Units". www.helmholtz-muenchen.de. Retrieved 2019-08-25.
  2. ^ Ertürk, Ali; Mauch, Christoph P; Hellal, Farida; Förstner, Friedrich; Keck, Tara; Becker, Klaus; Jährling, Nina; Steffens, Heinz; Richter, Melanie (January 2012). "Three-dimensional imaging of the unsectioned adult spinal cord to assess axon regeneration and glial responses after injury". Nature Medicine. 18 (1): 166–171. doi:10.1038/nm.2600. ISSN 1546-170X. PMID 22198277. S2CID 16100638.
  3. ^ Ertürk, Ali; Becker, Klaus; Jährling, Nina; Mauch, Christoph P; Hojer, Caroline D; Egen, Jackson G; Hellal, Farida; Bradke, Frank; Sheng, Morgan (November 2012). "Three-dimensional imaging of solvent-cleared organs using 3DISCO". Nature Protocols. 7 (11): 1983–1995. doi:10.1038/nprot.2012.119. ISSN 1750-2799. PMID 23060243. S2CID 2882746.
  4. ^ Pan, Chenchen; Cai, Ruiyao; Quacquarelli, Francesca Paola; Ghasemigharagoz, Alireza; Lourbopoulos, Athanasios; Matryba, Paweł; Plesnila, Nikolaus; Dichgans, Martin; Hellal, Farida (October 2016). "Shrinkage-mediated imaging of entire organs and organisms using uDISCO". Nature Methods. 13 (10): 859–867. doi:10.1038/nmeth.3964. ISSN 1548-7105. PMID 27548807. S2CID 3521504.
  5. ^ Cai, Ruiyao; Pan, Chenchen; Ghasemigharagoz, Alireza; Todorov, Mihail I.; Foerstera, Benjamin; Zhao, Shan; Bhatia, Harsharan S.; Mrowka, Leander; Theodorou, Delphine (2018-07-23). "Panoptic vDISCO imaging reveals neuronal connectivity, remote trauma effects and meningeal vessels in intact transparent mice". bioRxiv: 374785. doi:10.1101/374785.
  6. ^ Ertürk, Ali; Nedergaard, Maiken; Kerschensteiner, Martin; Menze, Bjoern; Liesz, Arthur; Bechmann, Ingo; Liebscher, Sabine; Steinke, Hanno; Benakis, Corinne (2018-12-31). "Panoptic imaging of transparent mice reveals whole-body neuronal projections and skull–meninges connections". Nature Neuroscience. 22 (2): 317–327. doi:10.1038/s41593-018-0301-3. ISSN 1546-1726. PMC 6494982. PMID 30598527.
  7. ^ Erturk, Ali; Zeidler, Reinhard; Menze, Bjoern; Garvalov, Boyan K.; Coronel, Javier; Reimer, Madita Alice; Ghasemi, Alireza; Neubeck, Bettina von; Gondi, Gabor (2019-02-05). "Deep learning reveals cancer metastasis and therapeutic antibody targeting in whole body". bioRxiv: 541862. doi:10.1101/541862.
  8. ^ Fleur, Nicholas St (2016-08-22). "Seeing Through to a Mouse's Nervous System". The New York Times. ISSN 0362-4331. Retrieved 2018-03-22.
  9. ^ Hernandez, Daniela (2016-08-22). "New Technique Shrinks, Makes Small Animals Transparent". Wall Street Journal. ISSN 0099-9660. Retrieved 2018-03-22.
  10. ^ "A 'revolutionary' new technology can turn mice clear — and might one day map your brain". Business Insider Deutschland (in German). Retrieved 2018-03-22.
  11. ^ weingart, antonia. "LMU". research.isd-muc.de. Retrieved 2018-04-24.
  12. ^ "Personnel - Nedergaard Lab - University of Rochester Medical Center". www.urmc.rochester.edu. Retrieved 2018-04-24.
  13. ^ a b http://research.isd-muc.de/Acute_braininjury_PI.html
  14. ^ "MSCA PhD Funding – A Guide". www.FindAPhD.com.
  15. ^ "Sofja Kovalevskaja Award". www.humboldt-foundation.de.
  16. ^ http://www.neuron-eranet.eu/_media/Plesnila.pdf
  17. ^ http://icemed.helmholtz.de
  18. ^ a b weingart, antonia. "ISD RESEARCH". research.isd-muc.de. Retrieved 2018-04-24.
  19. ^ "Die Rückkehr der Superhirne". FOCUS Online (in German). Archived from the original on 2022-08-13. Retrieved 2020-07-06.
  20. ^ "Ali Ertürk". Cure Alzheimer's Fund. Retrieved 2020-07-06.
  21. ^ "Press Release: SyNergy member Ali Ertürk receives ERC Consolidator Grant - Munich Cluster for Systems Neurology - LMU Munich". www.synergy-munich.de. Retrieved 2020-07-06.
  22. ^ Marx, Vivien (2020-04-01). "Ali Ertürk". Nature Methods. 17 (4): 357. doi:10.1038/s41592-020-0798-8. ISSN 1548-7105. PMID 32203390.
  23. ^ "Verleihung Rolf Becker-Preis 2020 - Medizinische Fakultät - LMU München". www.med.uni-muenchen.de (in German). Retrieved 2021-02-28.
  24. ^ "Ali Ertürk". The NOMIS Foundation. Retrieved 2024-11-07.
  25. ^ "Helmholtz Munich". Helmholtz Munich. 2024-09-12. Retrieved 2024-11-07.
  26. ^ "DEEP Piction GmbH, München | Firmenauskunft". firmeneintrag.creditreform.de. Retrieved 2023-03-05.
  27. ^ Redaktion. "Elf Projektteams pitchen beim Life Science Pitch Day im IZB" (in German). Retrieved 2023-03-05.
  28. ^ "1X1 Biotech GmbH, München | Firmenauskunft". firmeneintrag.creditreform.de. Retrieved 2023-03-05.
  29. ^ "Ali Ertürk". www.biochem.mpg.de. Retrieved 2018-04-14.
  30. ^ "Ali Erturk". 500px.com. Retrieved 2018-04-14.
  31. ^ "Ali Erturk Photography". www.facebook.com. Retrieved 2018-04-14.
  32. ^ Martinsried, Annette Jäger (2015-11-05). "Mit eigenen Augen" [With your own eyes]. Süddeutsche Zeitung (in German). Archived from the original on 2018-03-27. Retrieved 2018-03-27.
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