Search Results for “artificial intelligence” – Page 16 – media

How Digitizing Data Collection and Analysis in Biopharma Can Drive Better, Faster Insights

Moving from spreadsheets to automated data collection and processing is far from easy, but it could revolutionize drug development. It’s time for the biopharma industry to embrace end-to-end digitalization. By UNJULIE BHANOT When it comes to collecting and analyzing data, many biopharma companies are still in the digital dark ages. They process data using tools such as Microsoft Excel, which has a lot of capabilities but isn’t tailored to biopharma. Those that do undergo a digital transformation often install fragmented software tools that generate data in silos, requiring a lot of manpower to consolidate, format and chart the data. This is a laborious process that involves manually collating and assimilating data from disparate systems. As the volume of data generated by the biopharma industry explodes, this fragmented approach simply won’t cut it. Imagine a room full of bioreactors generating process-monitoring data every minute, with cell culture sampling performed a number ...
- Source: drugdu
- 167
- February 21, 2024
Innovate UK grants funds for breast cancer therapy project

Innovate UK has awarded a £1m ($1.26m) grant for a collaborative initiative called AI-VISION to aid treatment decisions for breast cancer patients. The project involves the Institute of Cancer Research (ICR), Durham University, the Royal Marsden Hospital and techbio company Concr. It will support clinical decision-making, including directing breast cancer patients on the use of immunotherapy. AI-VISION is a 24-month observational clinical study to assess tissue samples from early triple-negative breast cancer (TNBC) patients. These subjects will be analysed to define and establish chemotherapy response biomarkers, irrespective of immunotherapy status. The study aims to validate the safety and performance of new computational methods to offer precision therapies for patients. Concr will apply Bayesian computational frameworks, inspired by astrophysics, to interconnect diverse oncology data, enabling researchers to detect and develop biomarkers indicative of drug response. The ICR will contribute genomic data from its genomics facility, which will be integrated with clinical ...
- Source: https://www.pharmaceutical-technology.com/news/innovate-uk-funds-breast-cancer/?cf-view
- 105
- February 14, 2024
MRC Laboratory of Medical Sciences worth £120m opens on ICL campus

The institute is one of two UK laboratories wholly funded by the MRC The Medical Research Council (MRC) has opened a new Laboratory of Medical Sciences (LMS), worth £120m, at Imperial College Healthcare NHS Trust’s Hammersmith hospital. The institute is one of two laboratories in the UK that is wholly funded by the MRC. Commissioned by the LMS with investment from Imperial College London, the new eight-story building houses 400 scientists who work across themes including genes and the environment, heart and metabolic diseases and sex-based differences in diseases. It was designed to amplify the institute’s ability to bridge the gap between scientists exploring fundamental biological mechanisms as well as those translating that work into clinical applications. Professor Wiebke Arlt, LMS director, takes a new approach to research with a challenge-led team science approach, designed to build dynamic collaborations around specific biomedical challenges, co-designed with a variety of stakeholders such ...
- Source: https://pharmatimes.com/news/mrc-laboratory-of-medical-sciences-worth-120m-opens-on-icl-campus/
- 103
- February 14, 2024
Study reveals AI can predict patients’ survival in glioblastoma

The aggressive brain cancer is responsible for over 3,000 cases in the UK every year Researchers from King’s College London (KCL) have developed an artificial intelligence (AI)-based model that can predict adult brain cancer patients’ rates of survival after receiving radiotherapy treatment. Published in Neuro-Oncology, researchers applied deep learning to predict whether glioblastoma patients would survive eight months. Responsible for around 3,200 cases every year in the UK, glioblastoma is a very aggressive and difficult-to-treat cancer, with just one in four patients surviving over one year after diagnosis. Currently, patients are regularly and routinely tested to see whether chemotherapy is effective or not. However, some patients can suffer from harmful side effects as a result of chemotherapy. Instead, by giving patients an instantaneous and accurate prediction from a single routine MRI scan, the AI will allow doctors to identify patients who would not benefit from chemotherapy and try a different ...
- Source: https://pharmat.com/news/study-reveals-ai-can-predict-patients-survival-in-glioblastoma/
- 99
- February 12, 2024
First of Its Kind Software Uses AI and ML for Personalized Disease Prediction

Currently, no artificial intelligence (AI) or machine-learning tools are available for investigating and interpreting the complete human genome, particularly for non-experts. Now, a first-of-its-kind software combines AI and machine-learning approaches to understand the importance of specific genomic biomarkers to predict diseases in individuals. The IntelliGenes software created by researchers at Rutgers Health (New Brunswick, NJ, USA) combines conventional statistical methods with cutting-edge machine learning algorithms to generate personalized patient predictions and provide a visual representation of the biomarkers significant to disease prediction. IntelliGenes has been designed in such as way that the platform can be used by anyone, including students or those lacking strong knowledge of bioinformatics techniques or access to high-performing computers. In a study, the researchers demonstrated how IntelliGenes can be deployed by a wide range of users to analyze multigenomic and clinical data. In another study, the researchers applied IntelliGenes to discover novel biomarkers and predict cardiovascular ...
- Source: drugdu
- 93
- January 27, 2024
Key Trends from the 2024 J.P. Morgan Healthcare Conference

Key trends such as the resilience of the emerging biopharma space, the complexities of Medicare, and the revolutionary role of data and AI are shaping the future of the industry. By SUJAY JADHAV Beneath the Californian sunshine (and a few showers) at JP Morgan, a revolution simmers. Not a political one, but a healthcare revolution propelled by necessity and fueled by innovation. Imagine a future where groundbreaking therapies reach patients years sooner, personalized treatments offer hope for chronic diseases, and healthcare costs become more manageable for everyone. This isn’t science fiction; it’s the promise of the cutting-edge trends made at the annual J.P. Morgan Healthcare Conference earlier this month. For those that attended JPM in early 2023, you may recall it was quite gloomy coming off of a soft 2022 and an interest rate burdened 2023. JPM 2024 had an air of optimism. Emerging biopharma space: Challenges and innovations One ...
- Source: drugdu
- 90
- January 27, 2024
NICE recommends two AI-powered software tools for stroke diagnosis in NHS

The National Institute for Health and Care Excellence (NICE) has recommended two artificial intelligence (AI)-powered software tools for use in the NHS for stroke diagnosis. The two softwares – e-Stroke and RapidAI – were selected after the health technology assessment agency found some evidence of faster and better access to treatment after using the software. Currently the leading cause of disability, responsible for more than 100,000 cases in the UK every year, a stroke is a life-threatening medical condition that occurs when the blood supply to parts of the brain is cut off. NICE advised that the software tools can be used within the NHS “while further evidence is generated to help better determine their cost-effectiveness”. The institute also noted that some form of AI was deployed in 99 out of 107 stroke units in England. e-Stroke, developed by Brainomix, was implemented in hundreds of hospitals in the UK, as ...
- Source: drugdu
- 86
- January 27, 2024
AI Leverages Tumor Genetics to Predict Patient Response to Chemotherapy

Understanding tumor responses to drugs becomes challenging due to the complex nature of DNA replication, a critical target for many cancer treatments. All cells, including cancer ones, depend on a sophisticated system for DNA replication during cell division. Most chemotherapies aim to disrupt this replication process in rapidly multiplying tumor cells. Given the diverse genetic mutations in tumors, predicting drug resistance remains a formidable challenge. Now, scientists have developed a machine learning algorithm capable of predicting when cancer will resist chemotherapy. This model was specifically tested on cervical cancer, accurately predicting responses to cisplatin, a widely used chemotherapy drug. It efficiently identified tumors likely to resist treatment and shed light on the molecular mechanisms driving this resistance. Developed by the University of California San Diego School of Medicine (La Jolla, CA, USA; ), the algorithm assesses how various genetic mutations collectively impact a tumor’s response to DNA replication-inhibiting drugs. The ...
- Source: drugdu
- 87
- January 25, 2024
China is a Key Pillar for Novartis

Speaking to Sina Finance in Davos, NOVARTIS Global CEO Vas Narasimhan said he is optimistic about the global economy and the company’s next steps, which are characterized by enormous business opportunities despite many challenges. Vas said he was impressed by the continued upgrading and improvement of China’s healthcare system. China is NOVARTIS’ second-largest and fastest-growing market in the world. Overall, I feel very optimistic,” Wansheim said of his experience at Davos. One of the interesting things about Davos is that it brings together so many people who are passionate about improving the world, and so many new ideas in one place.” “As we know, we face many challenges, both in terms of the geopolitical situation and the global economy. But at the same time, I think there are also tremendous opportunities. We are gaining insights into how AI can impact many aspects of life and improve our productivity. At the ...
- Source: drugdu
- 188
- January 19, 2024
MHRA sets out regulatory roadmap to support safe access to medical technology

The Medicines and Healthcare products Regulatory Agency (MHRA) has set out a regulatory roadmap to enable safe access to medical technology, including artificial intelligence (AI) and diagnostics. The Roadmap Towards the Future Regulatory Framework for Medical Devices will support the development of new regulations that will prioritise patient safety and help ensure individuals continue to have access to the devices they need without delay, while enhancing the UK’s position as “a world-leading environment for medical technology innovators,” the MHRA said. The roadmap is also set to offer “significant new opportunities for patients and healthcare” by enhancing the UK’s ability to benefit from advancing medical technology such as implantable devices, healthcare AI and software, and diagnostics for early detection and prevention of disease. Dr Laura Squire, the MHRA’s MedTech regulatory reform lead and chief officer of healthcare, quality and access, said: “Today’s exciting medical technology advances offer important new opportunities for ...
- Source: drugdu
- 96
- January 12, 2024

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