Healthcare AI company Suki announced that it has successfully raised $70 million in new funding. This funding will be used for the development of its products, including an AI-driven voice assistant designed for clinical practitioners. Caption note: Image generated by AI, image licensed from provider Midjourney. Suki's founder and CEO Punit Soni stated, "The demand for AI in the healthcare industry is growing, and we are proud to offer a fully functional solution that seamlessly interoperates with existing tools."

The expert team formed by the MIFA Laboratory of the Shanghai Jiao Tong University Qingtuan Research Institute and the Endocrinology Department of Zhongshan Hospital affiliated with Fudan University has recently developed a dedicated large model for diabetes named Diabetica. This model integrates the language processing capabilities of large models with specialized knowledge in diabetes, aiming to provide intelligent support for doctors, patients, and medical education. The team employed a novel framework to establish a comprehensive data processing system, created high-quality datasets and evaluation benchmarks, and fine-tuned the large language model, significantly enhancing its performance on diabetes-related tasks.

Recently, Abridge announced the successful raise of $150 million, with plans to better integrate generative AI technology into the healthcare industry. This startup focuses on transcribing conversations between doctors and patients, automatically organizing these records into electronic health records. Source Note: Image generated by AI, image courtesy of service provider Midjourney. As the healthcare industry faces staffing shortages, Abridge aims to help clinicians reduce administrative burdens by enhancing its technology. The company partners with electronic health record giant Epic.

Healthcare fintech startup PayZen has successfully completed a $232 million Series B funding round in San Francisco, led by industry sources. This funding aims to expand the AI-driven healthcare payment platform, designed to eliminate financial barriers to care by providing support for patients through personalized payment plans while improving the financial outcomes of the healthcare system. PayZen's AI platform is integrated into electronic health record systems, analyzing various data points to create customized payment plans for patients.

Recently, a large-scale study funded by OpenAI founder Sam Altman revealed the impact of universal basic income on the lives of American citizens. Conducted by the OpenResearch Lab over three years, this study provided $1,000 per month to 3,000 randomly selected participants in Texas and Illinois, while establishing a control group that received $50 per month.

At the 2024 Baidu Health Industry Ecosystem Conference, Baidu Health introduced a series of large model application products aimed at using AI technology to address the "impossible triangle" problem in the healthcare industry, which includes "access to medical care," "affordability of medical care," and "quality of medical care."The following are the five large model application products launched by Baidu Health:Health Intelligent Family: Designed for general users, it offers services such as AI

The Alipay Medical Large Model has been launched! It has outperformed GPT-4 in both Chinese and English exams and has been implemented in first-tier hospitals in Jiangsu, Zhejiang, and Shanghai. This medical large model not only exceeds the level of GPT-4 in Chinese and English medical exams and benchmark tests, but also achieved first place on the A list and second place on the B list in the Chinese medical LLM evaluation list promptCBLUE. Even more surprisingly, its accuracy in identifying ima

The latest assistant in the medical industry, Gandalf, is an AI regulatory assistant that can automatically review documents submitted by medical device and pharmaceutical companies. Gandalf utilizes Unstructured to parse PDF files, allowing for a comprehensive review in just a few seconds after the user uploads the PDF. Learn more on GitHub: [Link](https://t.co/QxidISWbw6)Gandalf can check if materials comply with relevant regulations and laws, and assess whether they meet the requirements of r

SoftBank Group has partnered with Tempus AI to create a new joint venture aimed at utilizing artificial intelligence (AI) to analyze personal medical data and provide treatment recommendations. SoftBank Group CEO Masayoshi Son announced the news at a press conference in Tokyo.

Seattle-based startup PreemptiveAI has secured $6.4 million in funding, focusing on building smart healthcare models. The company utilizes data from smartphones and wearable devices to develop AI software that predicts health outcomes. They collaborate with Duke University to remotely monitor patient data and identify health risks. Potential clients include healthcare providers, drug developers, and insurance companies.

Indian IT giant Wipro has partnered with NVIDIA to accelerate the adoption of generative artificial intelligence in healthcare companies. The collaboration utilizes NVIDIA AI Enterprise software to enhance the efficiency of healthcare solutions, covering ACA, Medicare, and Medicaid. The goal is to drive the next generation of scalable AI solutions to improve innovation and business efficiency in the healthcare industry. Wipro plans to continue building NVIDIA-based solutions to accelerate digitalization and business transformation.

A survey shows that consumers hold an optimistic view about AI improving healthcare. 53% of consumers believe AI can enhance the accessibility of healthcare, 46% think AI can reduce healthcare costs, and 83% believe it is very important for healthcare providers to disclose information when using generative AI.

Forward, a company founded by former Google employees, has raised $100 million to launch automated health pods called CarePods. CarePods are placed in locations such as shopping malls and gyms. CarePods represent a reimagining of healthcare. Forward has a seven-year history as a startup, establishing a consumer-focused primary care clinic network.

Generative AI in the healthcare market is a revolutionary technology that utilizes artificial intelligence to transform the medical industry. By 2032, the market size of generative AI in healthcare is expected to reach $30.4 billion, with a compound annual growth rate of 34.9%. Diagnostic applications account for more than two-fifths of the market revenue in the healthcare sector, while hospitals and clinics are the highest revenue-generating applications of generative AI in the medical field.

Recent studies show that AI can predict one third of breast cancer cases two years prior to diagnosis. The findings highlight the significant potential of AI in breast cancer screening and interval detection. Experts point out that AI should serve as a supplementary tool for physicians, rather than replace medical expertise.

🚀 Major IT companies Samsung, Kakao, and Naver have launched generative AI systems for healthcare to meet user needs. 🏥 Samsung's subsidiary Harman introduced HealthGPT, providing advanced patient care and medical research support. 🔬 Korean companies like Kakao and Naver are also developing medical generative AI, offering medical information transformation and health record services. 💡 Companies like Google, Amazon, and Microsoft are also venturing into the medical generative AI field to enhance patient treatment outcomes and manage medical records.

The application of generative AI in manufacturing includes machine-generated event monitoring, customer service automation, document search and synthesis, product/content catalog discovery, and supply chain advisory. In healthcare, generative AI is used to enhance the search and connection of clinical data, providing a personalized medical experience. Generative AI not only makes strides in the healthcare and manufacturing sectors but also offers opportunities and innovations for other industries.

High-performance computing systems have improved the speed, accuracy, and reliability of genomic research. Artificial intelligence is being integrated into classic high-performance computing simulations and workloads. AI accelerates high-performance computing, opening up new application scenarios. AI achieves speed enhancements beyond the capabilities of high-performance computing, such as a 1000-fold increase. The combination of high-performance computing and artificial intelligence provides strong momentum for drug discovery research.