News
Innovation Fertility partners with Alife Health to bring AI to IVF clinics
The partnership will equip fertility clinics with new AI-powered analytics tools to improve care, access and outcomes
The US IVF group Innovation Fertility has partnered with the fertility technology company Alife Health to introduce new AI and analytics technology to its network.
Alife, a California start-up founded in 2020 by a team of data scientists, product engineers and software designers, has built a modern operating system for IVF.
Its first product, Alife Assist, consists of a software platform that utilises data-driven insights and AI to optimise and support clinical decision-making during critical stages of the IVF process, as well as streamline overall clinic operations.
The collaboration will provide Innovation Fertility clinics with AI-powered analytics tools to help health professionals make informed decisions and improve outcomes.
“Our leadership team has always been driven to discover the most cutting-edge, science-backed technologies in our field,” says Dr Kathleen Miller, chief science officer at Innovation Fertility.
“If we want to provide the best possible care to our patients, we know we need to leverage the potential that modern technology offers.
“Alife has worked hand-in-hand with us to build products that will not only help our clinics work more efficiently and effectively, but will also help us to build more personalised treatment plans for our patients.”
Paxton Maeder-York, Alife founder and CEO, said: “We’re thrilled to be working with Innovation Fertility to introduce new technologies that will push the field forward and help clinics in their effort to give more patients successful outcomes.
“Alife’s AI and advanced analytics technology provides IVF clinicians with personalised patient insights and predictions drawn from thousands of previous patient cycles.
“With this information, clinicians can craft individualised data-driven treatment recommendations to provide their patients optimal care and increase their chances of having a baby.”
Diagnosis
Lung cancer drug shows breast cancer potential
Ovarian cancer cells quickly activate survival responses after PARP inhibitor treatment, and a lung cancer drug could help block this, research suggests.
PARP inhibitors are a common treatment for ovarian cancer, particularly in tumours with faulty DNA repair. They stop cancer cells fixing DNA damage, which leads to cell death, but many tumours later stop responding.
Researchers identified a way cancer cells may survive PARP inhibitor treatment from the outset, pointing to a potential way to block that response. A Mayo Clinic team found ovarian cancer cells rapidly switch on a pro-survival programme after exposure to PARP inhibitors. A key driver is FRA1, a transcription factor (a protein that turns genes on and off) that helps cancer cells adapt and avoid death.
The team then tested whether brigatinib, a drug approved for certain lung cancers, could block this response and boost the effect of PARP inhibitors. Brigatinib was chosen because it inhibits multiple signalling pathways involved in cancer cell survival.
In laboratory studies, combining brigatinib with a PARP inhibitor was more effective than either treatment alone. Notably, the effect was seen in cancer cells but not normal cells, suggesting a more targeted approach.
Brigatinib also appeared to act in an unexpected way. Rather than working through the usual DNA repair routes, it shut down two signalling molecules, FAK and EPHA2, that aggressive ovarian cancer cells rely on. FAK and EPHA2 are proteins that relay survival signals inside cells. Blocking both at once weakened the cells’ ability to adapt and resist treatment, making them more vulnerable to PARP inhibitors.
Tumours with higher levels of FAK and EPHA2 responded better to the drug combination. Other data link high levels of these molecules to more aggressive disease, pointing to potential benefit in harder-to-treat cases.
Arun Kanakkanthara, an oncology investigator at Mayo Clinic and a senior author of the study, said: “This work shows that drug resistance does not always emerge slowly over time; cancer cells can activate survival programmes very early after treatment begins.”
John Weroha, a medical oncologist at Mayo Clinic and a senior author of the study, said: “From a clinical perspective, resistance remains one of the biggest challenges in treating ovarian cancer. By combining mechanistic insights from Dr Kanakkanthara’s laboratory with my clinical experience, this preclinical work supports the strategy of targeting resistance early, before it has a chance to take hold. This strategy could improve patient outcomes.”
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