Qure.ai nets $65 million primary synthetic intelligence
Qure.ai raised $65 million in Collection D funding led by Lightspeed and 360 ONE Asset.
The corporate mentioned it’s going to use the brand new funds to take a position extra in primary synthetic intelligence fashions and purchase complementary startups within the medical expertise discipline. It would even be used to speed up its enlargement in america and different markets.
Earlier this 12 months, the Mumbai-based firm obtained two main clearances from the U.S. Meals and Drug Administration: Breakthrough Machine Designation for its synthetic intelligence resolution for tuberculosis screening; qSpot-TB, and 510(ok) clearance of pulmonary nodules on qXR AI-driven chest X-ray software program.
Mediwhale raises $12 million to hunt US FDA approval
Mediwhale, a Korean well being diagnostics firm, obtained US$12 million in Collection A2 financing led by the Korea Improvement Financial institution.
The corporate claims to supply the world’s first retina-based resolution – known as Reti-CVD – that makes use of synthetic intelligence to evaluate heart problems threat.
The corporate plans to make use of the brand new funds to hunt U.S. FDA approval for Reti-CVD. In line with reviews, the software program It was absolutely rolled out in Yonsei College Medical System earlier this 12 months.
“We’re decided to acquire FDA De Novo approval by 2025 and plan to launch our merchandise in america shortly thereafter,” CEO Kevin Choi mentioned in a press release.
Along with acquiring regulatory clearance, Mediwhale is searching for to additional enhance its synthetic intelligence and develop new options to foretell power kidney illness threat.
Mediwhale final raised $2 million in Collection A funding in 2021 and $9 million in Collection A funding in 2023.
Huawei launches medical imaging AI
Huawei not too long ago launched a brand new synthetic intelligence-driven medical picture evaluation resolution.
This expertise is named “Medical Know-how Digitization 2.0” and might use synthetic intelligence to intelligently phase, detect and quantitatively analyze medical photographs with an accuracy of as much as 98%. Huawei claims that the answer can shorten illness prognosis time by 40%, however doesn’t specify which illness.
As well as, this AI resolution can be utilized to ultrasound tools operating the OpenHarmony working system.
The Chinese language tech big developed the answer in partnership with numerous native medical expertise corporations together with MED Imaging AI, Wanxiang, Beijing DeepWise, KFBIO, and has already been applied in main tasks such because the Fourth Folks’s Hospital of Shenyang, the capital of Northeast China’s Liaoning Province.
Korean pharmaceutical firm makes use of synthetic intelligence to find new medication
South Korean pharmaceutical firm GI Innovation is seeking to apply synthetic intelligence to new drug growth.
It not too long ago signed a memorandum of understanding with native firm i-Divine to develop its core most cancers drug pipeline and leverage the latter’s synthetic intelligence options to find new most cancers therapy targets.
i-Divine’s synthetic intelligence is predicated on large-scale language fashions skilled on greater than a billion patents, papers, and real-time organic knowledge from all over the world. It was beforehand used to investigate the success potential of 16,000 new medication, together with one from GI Innovation’s most cancers drug pipeline.
MediBuddy Powers Philips’ Predictive Coronary heart Synthetic Intelligence
India’s MediBuddy is integrating Philips’ coronary heart well being monitoring platform into its cell well being app.
The AI-based longitudinal classification resolution, known as HeartPrint, tracks and evaluates key biomarkers of human fingers when scanned by a smartphone digicam. These embody cardiovascular age, diabetes threat, OSA threat, cardiorespiratory health index, coronary heart fee evaluation, cardiac index, blood stress variability and stress dysfunction prediction.
The AI ​​resolution additionally analyzes patterns that present an individual’s threat of coronary heart illness, deterioration in total well being, the center’s means to get better, and short- and long-term modifications in coronary heart perform.
