AI

  • This week’s health tech investment roundup

    This week has seen a flurry of investment secured across the health tech space. As reported yesterday by Health Tech World, startup Quibim is closing in on its goal to take precision medicine to the next level via advanced imaging technology after a US$50m fundraise. Here, we round up the other big investment developments from [...]

  • Quibim’s vision for a new age of precision medicine gets US$50m turbo boost

    Health tech startup Quibim is closing in on its goal to take precision medicine to the next level via advanced imaging technology after a US$50m fundraise. The Spanish enterprise’s long-term ambition is a system in which clinicians can gain a non-invasive understanding of every tissue point in the human body, at any moment in time. [...]

  • Health AI champion Nvidia endures record slide amid Chinese progress

    Nvidia, a lead player in advancing the use of AI in healthcare, lost US$589bn in market capitalisaton yesterday – the greatest one-day value loss of any firm on record. The slide came after news of Chinese AI company DeepSeek’s latest developments. The firm released its large language model DeepSeek-R1, which reportedly ranks competitively on key [...]

  • AI judged to be more compassionate than expert crisis responders

    AI can create empathetic responses more reliably and consistently than humans, even when compared to professionals whose job relies on empathising with those in need, new research has found. The research looked at how people evaluated empathetic responses generated by ChatGPT compared to human responses. Across four separate experiments, participants were asked to judge the [...]

  • Call for research framework to better understand impact of AI on child mental health

    A new peer-reviewed paper has highlighted the need for a clear framework when it comes to AI research, given the rapid adoption of artificial intelligence by children and adolescents using digital devices to access the internet and social media. The recommendations are based on a critical appraisal of current shortcomings in the research on how [...]

  • AI uncovers new biomarkers that could detect colorectal cancer

    Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped researchers to discover proteins that have strong predictive potential for colorectal cancer. The researchers analysed one of the largest UK Biobank dataset of protein profiles from healthy individuals and colorectal cancer patients and highlighted three proteins — TFF3, LCN2, and CEACAM5 [...]

  • AI platform launches to support cancer care

    AI company Azra AI, has launched the newest release of its end-to-end oncology platform which enables personalised cancer treatment plans. Azra AI’s platform provides support for the full continuum of care using advanced AI models trained on over 100 million pathology and radiology reports. According to the company, the Pathology AI models identify newly diagnosed [...]

  • Welbeck Health Partners to showcase ‘world’s first’ AI-powered cardiovascular screening at Arab Health 2025

    Welbeck Health Partners is set to revolutionise cardiovascular care at the Arab Health Exhibition & Congress 2025, unveiling the 'world’s first' cardiovascular screening using retinal imaging, powered by AI. The innovation, DrNoon CVD, will be presented by leading general practitioners Dr Azhar Janmohamed and Dr Husain Khaki at the ABHI Surgical Simulation Theatre on Monday 27th January, [...]

  • Reading heart cells’ inner electrical signals with AI

    A non-invasive method to monitor the electrical activity inside heart muscle cells from the outside has been developed using AI - avoiding the need to physically penetrate the cells. The method relies on recording electrical signals from outside the cells and using AI to reconstruct the signals within the cells with impressive accuracy. The electrical [...]

  • Interview: the future of healthcare and inclusive AI

    AI is rapidly innovating the field of healthcare, however, ensuring diversity and inclusivity is key to accuracy and usefulness of data in order to truly transform quality of life and treatment outcomes. Good AI requires models trained on data that accurately reflect the diverse patient population they are designed to serve, Dr. Georgi Chaltikyan, program [...]