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Welcome to the place for cutting-edge analysis of medical data

We will help you doing your research much faster, more accurately and even cheaper than ever before.

At aimed analytics, our mission is to unlock the full potential of your medical data. By rethinking the whole process of data analysis, we have created an AI-powered modular system that will make a significant contribution to fully exploit medical data. Our approach will help you to find the right answers to your research questions.

Get the most out of your data

Medical data is complex, but we offer a wide range of solutions to meet all of your needs.

Data analysis as simple as plug-and-play

The application of machine learning to your data has never been easier.

No waste of time

Fast turnaround times with no compromise on the quality of the data analysis.

Now let’s get the most out of your data

Pick your research goals and explore our analytical solutions

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A few steps to your data analysis

Let's find out what analytic solutions fit your research

You're just a few questions away from a recommendation how we will analyze your data set. Let's start with your research goals.

Afterwards we will create a customized nonbinding offer for you. In a short follow-up meeting, we can then discuss how to proceed.

A few steps to your data analysis

Please specify your data source

What kind of technology data set derived from? If there are any specifics you want to share with us, please feel free to leave a comment.

A few steps to your data analysis

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Only one step left to your recommendation. In order to send you a customized nonbinding offer afterwards and react to any emerging questions we need your contact details.

Your recommendation

Thank you for your interest in aimed analytics

Here are your recommended analytical modules. Our team will be in touch to schedule a call and discuss your goals further so we can provide you with a personalized quote.

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Number of conditions
conditions
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samples
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Any information helps us to create the best offer for you.

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Suppressive Myeloid Cells Are a Hallmark of Severe COVID-19

Schulte-Schrepping, Jonas, Nico Reusch, Daniela Paclik, Kevin Baßler, Stephan Schlickeiser, Bowen Zhang, Benjamin Krämer, et al. 2020.

Alterations of Multiple Alveolar Macrophage States in Chronic Obstructive Pulmonary Disease

Kevin Baßler, Wataru Fujii, Theodore S. Kapellos, Arik Horne, Benedikt Reiz, Erika Dudkin, Malte Lücken, et al. 2020.

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics

Stefanie Warnat-Herresthal, Konstantinos Perrakis, Bernd Taschler, Matthias Becker, Kevin Baßler, Marc Beyer, Patrick Günther, et al. 2020.

A rule-based data-informed cellular consensus map of the human mononuclear phagocyte cell space

Patrick Günther, Branko Cirovic, Kevin Baßler, Kristian Händler, Matthias Becker, et al. 2019.

Aging Induces an Nlrp3 Inflammasome-Dependent Expansion of Adipose B Cells That Impairs Metabolic Homeostasis.

Camell CD, Günther P, Lee A, Goldberg EL, Spadaro O, Youm YH, Bartke A, Hubbard GB, Ikeno Y, Ruddle NH, Schultze J, Dixit VD.

Memory-Driven Computing Accelerates Genomic Data Processing

Matthias Becker, Milind Chabbi, Stefanie Warnat-Herresthal, Kathrin Klee, Jonas Schulte-Schrepping, Pawel Biernat, Patrick Günther, Kevin Baßler, et al. 2019.

Western Diet Triggers NLRP3-Dependent Innate Immune Reprogramming

Christ A, Günther P, Lauterbach MAR, Duewell P, Biswas D, Pelka K, Scholz CJ, Oosting M, Haendler K, Baßler K, Klee K, Schulte-Schrepping J, Ulas T, Moorlag SJCFM, Kumar V, Park MH, Joosten LAB, Groh LA, Riksen NP, Espevik T, Schlitzer A, Li Y, Fitzgerald ML, Netea MG, Schultze JL, Latz E.

Mapping the human DC lineage through the integration of high-dimensional techniques

See P, Dutertre CA, Chen J, Günther P, McGovern N, Irac SE, Gunawan M, Beyer M, Händler K, Duan K, Sumatoh HRB, Ruffin N, Jouve M, Gea-Mallorquí E, Hennekam RCM, Lim T, Yip CC, Wen M, Malleret B, Low I, Shadan NB, Fen CFS, Tay A, Lum J, Zolezzi F, Larbi A, Poidinger M, Chan JKY, Chen Q, Rénia L, Haniffa M, Benaroch P, Schlitzer A, Schultze JL, Newell EW, Ginhoux F.

Specification of tissue-resident macrophages during organogenesis

Mass E, Ballesteros I, Farlik M, Halbritter F, Günther P, Crozet L, Jacome-Galarza CE, Händler K, Klughammer J, Kobayashi Y, Gomez-Perdiguero E, Schultze JL, Beyer M, Bock C, Geissmann F.

Neutrophils in COVID-19

Nico Reusch, Elena De Domenico, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Kevin Baßler, Joachim L. Schultze, and Anna C. Aschenbrenner 2021.

Suppressive Myeloid Cells Are a Hallmark of Severe COVID-19

Schulte-Schrepping, Jonas, Nico Reusch, Daniela Paclik, Kevin Baßler, Stephan Schlickeiser, Bowen Zhang, Benjamin Krämer, et al. 2020.

Alterations of Multiple Alveolar Macrophage States in Chronic Obstructive Pulmonary Disease

Kevin Baßler, Wataru Fujii, Theodore S. Kapellos, Arik Horne, Benedikt Reiz, Erika Dudkin, Malte Lücken, et al. 2020.

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics

Stefanie Warnat-Herresthal, Konstantinos Perrakis, Bernd Taschler, Matthias Becker, Kevin Baßler, Marc Beyer, Patrick Günther, et al. 2020.

A rule-based data-informed cellular consensus map of the human mononuclear phagocyte cell space

Patrick Günther, Branko Cirovic, Kevin Baßler, Kristian Händler, Matthias Becker, et al. 2019.

Aging Induces an Nlrp3 Inflammasome-Dependent Expansion of Adipose B Cells That Impairs Metabolic Homeostasis.

Camell CD, Günther P, Lee A, Goldberg EL, Spadaro O, Youm YH, Bartke A, Hubbard GB, Ikeno Y, Ruddle NH, Schultze J, Dixit VD.

Memory-Driven Computing Accelerates Genomic Data Processing

Matthias Becker, Milind Chabbi, Stefanie Warnat-Herresthal, Kathrin Klee, Jonas Schulte-Schrepping, Pawel Biernat, Patrick Günther, Kevin Baßler, et al. 2019.

Western Diet Triggers NLRP3-Dependent Innate Immune Reprogramming

Christ A, Günther P, Lauterbach MAR, Duewell P, Biswas D, Pelka K, Scholz CJ, Oosting M, Haendler K, Baßler K, Klee K, Schulte-Schrepping J, Ulas T, Moorlag SJCFM, Kumar V, Park MH, Joosten LAB, Groh LA, Riksen NP, Espevik T, Schlitzer A, Li Y, Fitzgerald ML, Netea MG, Schultze JL, Latz E.

Mapping the human DC lineage through the integration of high-dimensional techniques

See P, Dutertre CA, Chen J, Günther P, McGovern N, Irac SE, Gunawan M, Beyer M, Händler K, Duan K, Sumatoh HRB, Ruffin N, Jouve M, Gea-Mallorquí E, Hennekam RCM, Lim T, Yip CC, Wen M, Malleret B, Low I, Shadan NB, Fen CFS, Tay A, Lum J, Zolezzi F, Larbi A, Poidinger M, Chan JKY, Chen Q, Rénia L, Haniffa M, Benaroch P, Schlitzer A, Schultze JL, Newell EW, Ginhoux F.

Specification of tissue-resident macrophages during organogenesis

Mass E, Ballesteros I, Farlik M, Halbritter F, Günther P, Crozet L, Jacome-Galarza CE, Händler K, Klughammer J, Kobayashi Y, Gomez-Perdiguero E, Schultze JL, Beyer M, Bock C, Geissmann F.

Neutrophils in COVID-19

Nico Reusch, Elena De Domenico, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Kevin Baßler, Joachim L. Schultze, and Anna C. Aschenbrenner 2021.
Various publications demonstrate our expertise

We understand your needs

The founders of aimed analytics have contributed to numerous studies and articles through their analyses and biomedical knowledge.

All publications
This is our DNA

We are specialists on analyzing biomedical data

At aimed analytics we concluded our only chance to better understand diseases such as cancer and Alzheimer’s is to provide the world’s scientists with unrestricted access to high-quality and biologically relevant analyses. 

Meet our team