Since its establishment, Yizhen AI+ has focused on the independent research and development and application of underlying core technologies of medical big data such as medical imaging, ultrasound, endoscopy, nuclear medicine, pathology, etc. It has highly advanced and mature applications in medical technology business, medical technology big data application, collaboration, scientific research, operation, public perception and artificial intelligence. So far, it has served more than 2,500 medical institutions.
Zuoshou Doctor empowers the medical and health industry through an open platform, providing various types of high-quality smart doctor services to partners such as medical institutions, information technology manufacturers, pharmaceutical companies, chain drug stores, health management agencies, and smart hardware.
Lunit is a publicly traded company that develops medical AI software that helps conquer cancer. With cancer, survival often depends on how early it is caught, and Lunit’s cancer screening AI helps doctors detect it earlier.
GLASS effective question formulations, also called diagnostic one-liners, include relevant demographics, relevant history or epidemiological risk factors, duration and velocity of illness, and key signs and symptoms and key data (laboratory, imaging, physical examination data).
Whisper AI is an AI-powered hearing aid. With AI, it can learn and adapt to different listening situations, such as a noisy shopping market or a family gathering. It offers regular software upgrades from new features to sound processing.
Woebot is your personal mental health ally, helping you feel yourself back. Backed by clinical research and powered by AI.
QOVES Labs' facial assessment tool, which uses machine learning to analyze your face like a clinician would and recommend improvements to your daily routine.
AweMyFace - is a skincare app that is your only guide to perfect skin. The problem of acne affects one in eight adults on the planet. But there is no one right solution that helps everyone. That's why it is so important to know your individual body, to establish your personal cause and effect, which can improve or worsen a person's condition. The AweMyFace skincare app will help you find the way to clear and healthy skin.
OpenBioML aims to be an open collaborative research lab at the intersection of machine learning and biology. From discussing the latest developments to collaborating on cutting-edge projects and replicating closed-source research. We seek to maximize the positive impact of AI in the life sciences.
Leading protein design, decoding the language of proteins with AI. Designing novel, optimal proteins that bypass existing barriers in the industry.
We focus on the discovery and development of new therapeutic proteins through different collaboration frameworks.
Despite their inherent advantages, designing protein-based therapeutics is notoriously difficult. Computational tools have previously been hampered by the large size of proteins and the lack of available structural data. We utilized a physics-based approach and novel machine learning algorithms to overcome these challenges.
The Menten platform enables the design of potent, drug-like peptide macrocycles in the nM range with desirable in vitro and in vivo properties and provides a new chemical paradigm for difficult-to-druggable targets.
We discover nature's unspoken rules to create products that solve some of the world's biggest problems. We are committed to building a healthier, more sustainable world.
Cradle uses powerful predictive algorithms and AI design suggestions to help biologists design improved proteins in record time.
We are shaping the future of cell therapy
Our platform uses AI to help you accelerate the drug discovery process. Together we can make a big difference
We use machine learning to design novel antibodies against difficult targets such as GPCRs and ion channels.
We are pioneering the field of generative biology: a revolutionary approach to drug development that allows us to program protein-based patterns for the first time.