Aiforia provides deep learning AI and cloud-based technology for pathologists and scientists in clinical, pre-clinical, and academic labs to analyze large and complex medical images, particularly in pathology. Aiforia aims to transform pathology image analysis with AI to enable better patient care.

Aiforia

Aiforia equips pathologists and scientists in preclinical and clinical labs with powerful deep learning artificial intelligence software for translating images into discoveries, decisions, and diagnoses.

The cloud based Aiforia products and services aim to escalate the efficiency and precision of medical image analysis, across a variety of fields from oncology to neuroscience and more.

From empowering researchers in the identification of novel biomarkers of disease, and supporting R&D scientists in speeding up time-to-market of novel drugs, to helping pathologists enhance the accuracy of cancer diagnostics — Aiforia has the expertise and experience to transform healthcare all the way from discovery to diagnosis.

European Innovation Council

Business Finland

Jukka Tapaninen

Marten Mickos

Sto-Rahoitus

ACME Investments

Ascend Capital Partners

PHC Holdings

Aiforia Technologies

Dr. Jennifer M. Boland and her team from the Mayo Clinic successfully developed an AI model to determine the invasion in pulmonary adenocarcinoma using Aiforia® Create. 

Read the full case story here: https://hubs.la/Q02ygbBk0

Congratulations to Jan Siarov et al. on the release of their latest publication "Deep learning model shows pathologist-level detection of sentinel node metastasis of melanoma and intra-nodal nevi on whole slide images". 

Read the full article ➡️ https://hubs.la/Q02MbNQr0

The 5th Cutting Edge Pathology Congress organized by the European Society of Veterinary Pathology (ESVP), the European College of Veterinary Pathologists (ECVP), the European Society of Toxicologic Pathology(ESTP), and the Spanish Society of Veterinary Pathology in Madrid, Spain is already next week!

📄 Make sure to explore the following posters presented at the congress. Aiforia's team is proud to have contributed to these projects: 

- Assessment of Compound-Induced Hepatocellular Hypertrophy in Rats Through Deep Learning-based Quantitative Analysis | Fox R, Väisänen T, Rekinen S, et al. | number 18

- Automated Assessment of Necrotic Neurons and Dark Artifactual Neurons in Transgenic Mouse Model of Alzheimer’s Disease Using Deep Learning | Youssef SA, Rekinen S, Fox R, et al.

- Automated Assessment of Ki-67 Proliferation Index of Canine Mast Tumours Using Computational Deep Learning | Fox R, Dobromylskyj M, Ide A, et al. | number 11

- Artificial Intelligence-based Histopathological Analysis Identifies Unique Correlates of Tuberculosis | Stetzik L, Westerling-Bui T, Sihvo HK, et al. | number 3

📍 Stop by our booth number 10-11 and meet with Mikael Jääskeläinen and Richard Fox, and find out how to enhance your image analysis work in preclinical studies, medical research, and veterinary diagnostics. Book a demo to see Aiforia’s solutions in action: https://hubs.la/Q02M0Y4q0

The 36th European Congress of Pathology (ECP 2024) organized by European Society of Pathology in Florence, Italy is just a few weeks away. 

🖥️ Explore how AI-assisted image analysis can increase efficiency, precision, and consistency in the pathology workflow at Aiforia's booth number 73. Meet with our team Jukka Tapaninen, Kaisa Helminen, Tamas Regenyi, Julien Courtial, Sharmila Mistry - MSc Histopathology, Mikael Jääskeläinen, Darshan Kumar, Rute Pedrosa, Ph.D., Andreea Luchian and Emilia Lönnberg. 

Book a slot to see the Aiforia® Platform in action with an AI demo on-site: https://hubs.la/Q02LGQdg0

AI is not replacing pathologists but helping them cope with increasing workloads. Implementing AI into the digital pathology workflow can save a lot of time, time that can be spent on focusing on the most complex cases. 

Over 5,000 pathologists, medical scientists, and researchers worldwide are using the Aiforia® Platform to make the most of digitized image analysis workflows and fully harness their expertise by automating repetitive tasks and increasing the speed and accuracy of case and study reviews. 

See concrete examples from different industries ▶️
https://hubs.la/Q02LqjS_0

We are excited to attend the 5th Cutting Edge Pathology Congress organized by the European Society of Veterinary Pathology (ESVP), the European College of Veterinary Pathologists (ECVP), the European Society of Toxicologic Pathology (ESTP) and the Spanish Society of Veterinary Pathology in Madrid, Spain on August 28-31, 2024! 

🖥️ Visit us at booth number 10-11 and see how AI-assisted image analysis can increase efficiency, precision, and consistency in the pathology workflow. 

📄 Aiforia's team is also proud to have contributed to the four posters presented at the congress. 

Would like to hear more about Aiforia's powerful deep learning AI and cloud-based technology? Book a time and see a personalized demo while at the conference: https://hubs.la/Q02L439g0

#veterinarypathology #digitalpathology #pathologycongress

Join us in congratulating Jan Siarov et al. on their recent publication, "Utilizing deep learning model for assessing melanocytic density in resection margins of lentigo maligna"! 

Read the full article here ➡️ https://hubs.la/Q02Kp1VS0

Congratulations to Antti J Luikku, MD et al. on their latest publication, "Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome"! 

Read the full article here ➡️ https://hubs.la/Q02Kp1P70

Congratulations to Joana Matos Rodrigues et al. on their latest publication, "CD163+ macrophages in mantle cell lymphoma induce activation of pro-survival pathways and immune suppression"! 

Read the full article here ➡️ https://hubs.la/Q02Jy8K-0

Fimlab Laboratories Ltd has selected Aiforia Technologies Plc as the provider for breast and prostate cancer diagnostics solutions. 

Earlier in May, Aiforia announced a framework agreement in which it was selected as one of the suppliers of AI solutions for Fimlab to support pathology diagnostics. The AI solutions for breast and prostate cancer are the first order for Aiforia within this multi-year framework agreement.

Read more: https://hubs.la/Q02JHyzx0

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