In contrast to conventional keyword searching techniques, Causaly’s AI can sift through and remove irrelevant data from biomedical searches, offering a more thorough and accurate understanding of entire research landscapes. This not only streamlines knowledge acquisition but ensures accuracy and precision in navigating the biomedical literature.

Unmanageable toxicity accounts for 30% of clinical drug development failures and can cause severe side effects and potential harm to patients. Download our report to see how AI-powered drug discovery can help mitigate late-stage clinical failures and market withdrawals.  

Human-centric AI can be used to accelerate target identification and prioritization, extracting evidence for the most relevant target-disease relationships. Importantly, our AI provides a view of all scientific evidence, ensuring 100% traceability or original sources for researchers to apply their own judgement.

Limited therapeutic efficacy and drug resistance in advanced-stage prostate cancer contributes to poor outcomes, highlighting the need for targeted therapies with alternative mechanisms of action. Here, we leveraged human-centric AI to accelerate target identification for prostrate adenocarcinoma.

Early-stage triple-negative breast cancer (TNBC) primarily relies on surgery and chemotherapy, yet its response is often suboptimal compared to other breast cancer subtypes. The development of targeted therapies is crucial to improve prognosis, enhance treatment efficacy and mitigate drug resistance. Identifying novel therapeutic pathways holds the potential to transform TNBC treatment.

Despite available treatments for blood cancer, achieving sufficient dosage at the tumor site for therapeutic efficacy is difficult, underscoring the crucial need for improved targeted therapies. Here we used Causaly to identify and prioritize potential targets for Diffuse Large B Cell Lymphoma (DLBCL) – the most prevalent Non-Hodgkin Lymphoma.     

Bladder cancer treatments are hampered by high recurrence, requiring multiple therapeutic interventions which are highly invasive and cause side effects, underscoring the need for innovative treatments. In the pursuit of advancing bladder cancer treatment, immuno-oncology shows promise. This blog delves into the importance of identifying antigens in the development of targeted cancer therapies.  

Ubiquitination plays a key role in the pathophysiology of multiple myeloma, highlighting its promise as a therapeutic target for this plasma cell malignancy. In this blog, we used Causaly to explore genetic alterations affecting by ubiquitination in multiple myeloma.