AIGNOSTICS

[Jonas Dippel @jdppel]

🧵I am excited to share that our paper: AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics has now been published in @NEJM_AI .

https://t.co/GsQLrfTb0x

[AIGNOSTICS @AIgnostics]

The #aignostics team is heading to #ASCO2024!

Interested in hearing about how we’re transforming precision medicine with our industry-leading foundation model and advanced machine learning algorithms? Let’s connect on June 2-3: https://t.co/ObHQGsTrbl

#ASCO24 #PrecisionMedicine

[AIGNOSTICS @AIgnostics]

We are delighted to announce that Aignostics has been awarded a 3 year grant under the “ProFIT” initiative. It was approved by the Investitionsbank Berlin (IBB) and is co-financed by the European Union under the EU Regional Development Fund (ERDF).

https://t.co/O4PTLGstPh

[AIGNOSTICS @AIgnostics]

We are thrilled to announce that we raised a €14m Series A led by @wellingtonvc - you can read the full press release here: https://t.co/rOvcJU7vru

[AIGNOSTICS @AIgnostics]

Thank you @Forbes_DACH for selecting us as one of the top 30 startups in AI this year. We are excited to be part of this landscape!
https://t.co/svZbmcqlWv

[AIGNOSTICS @AIgnostics]

We are happy to share this new paper featuring our very own Miriam Haegele, @FKlauschen and Klaus-Robert Müller as co-authors, as well as our #ExplainableAI approach.

https://t.co/PCKyOVkrjq

[AIGNOSTICS @AIgnostics]

Another interesting read featuring our founder @FKlauschen and our friends over at @vara_ai

https://t.co/GwGzIZuVR2

[AIGNOSTICS @AIgnostics]

Der virtuelle Assistent https://t.co/gJJv7umV4Z

[AIGNOSTICS @AIgnostics]

We are happy to support #EMPAIA, which was officially kicked off today. EMPAIA is a large Charité-led consortium aimed at creating a neutral, vendor-agnostics platform to deploy AI applications into pathology labs, initially in Germany but hopefully soon also internationally.

[AIGNOSTICS @AIgnostics]

We are thrilled to announce that we just closed a €5m Seed Round. A special thanks to @ChariteBerlin, @TUBerlin, @berlinnovation, and @ascenion for all the help!

#DigitalPathology #DigitalHealth #ExplainableAI
https://t.co/rBFc6NEQFx

[Deutsches Ärzteblatt @Dt_Aerzteblatt]

Digitales Bildanalysesystem unterstützt Pathologen bei Beurteilung mikroskopischer Präparate: Berlin – Wissenschaftler vom Pathologischen Institut der Charité – Universitätsmedizin Berlin haben gemeinsam mit Forschern… https://t.co/LzTGAxKMTl #KI #Bildanalyse #Pathologie

[Ursula von der Leyen @vonderleyen]

The last European action plan against cancer dates back 30 years. In the meantime:
❗The world has changed.
❗Europe has changed.
❗And the number of cases is on the rise.

This is why on #WorldCancerDay, we begin a common path that will lead to Europe's Beating Cancer Action.

[Einstein Foundation @Einstein_Berlin]

@ChariteBerlin @TUBerlin @DKTK_ And if you'd like to learn more about machine learning, join the colloquium of @IRILifeSciences on Sep 26th where Frederick Klauschen will talk about machine learning applications in biomedicine https://t.co/zUGCmNCO5g

[AIGNOSTICS @AIgnostics]

New research from our colleagues on head and neck tumor metastasis analysis with AI - check it out here (German only for now):
https://t.co/JCT9kRIEtl

[AIGNOSTICS @AIgnostics]

Read the latest research of our colleagues on explainable #ai in #pathology illustrating our precision approach

[arXiv Daily @Arxiv_Daily]

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
https://t.co/czuyYaTdl5
by Miriam Hägele et al.
#DeepLearning #ReceiverOperatingCharacteristicCurve

[Norman Zerbe @NormanZerbe]

Frederick Klauschen, Germany | Digital pathology - a prerequisite for precision medicine #ESPBilbao2018 #digitalPathology #molecularData

[Matt Sydes @mattsydes]

Frederick Klauschen on statistical challenges of precision medicine. Primary tumour site still key. #ISCB2016

[Fraunhofer HHI @FraunhoferHHI]

Impressions of the AI for Health meeting. Highlights include the presentation of W. Samek (Fraunhofer HHI) on selection of data for AI evaluation, and the presentation of M. Wenzel (Fraunhofer HHI) on behalf of F. Klauschen (Charité), on the use of AI to detect breast cancer.