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BioWorld - Saturday, March 7, 2026
Home » Authors » Shani Alexander

Articles by Shani Alexander

EsoCap delivery capsule

Esocap effectively treats eosinophilic esophagitis

Jan. 15, 2025
By Shani Alexander
Esocap AG aims to transform the treatment of eosinophilic esophagitis with its drug delivery technology, ESO-101, designed to increase mucosal contact time and drug deposition in the esophagus. Data from the recent ACESO study showed that ESO-101 was safe and well tolerated and improved both histologic and endoscopic outcomes in patients with active eosinophilic esophagitis.
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Illustration for inflammatory bowel disease

Qaelon, Caresyntax team up to tackle surgical leaks

Jan. 14, 2025
By Shani Alexander
Qaelon Medical SAS partnered with Caresyntax GmbH, aiming to build the first real-world evidence platform to tackle problems associated with surgical leaks. The companies hope their solution will provide real-time information to surgeons, improving outcomes and making surgery safer for patients.
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Medtronic adaptive DBS System

​Medtronic‘s Brainsense lands CE mark for Parkinson’s

Jan. 13, 2025
By Shani Alexander
Medtronic plc secured CE mark approval under the EU Medical Device Regulation for its Brainsense adaptive deep brain stimulation system. The technology represents a major advancement in the treatment of Parkinson’s disease as it provides real-time, self-adjusting brain stimulation based on the patient’s brain activity, offering a more personalized therapy.
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Glooko Hedia software app

Glooko, Hedia launch bolus dosing support solution

Jan. 10, 2025
By Shani Alexander
Glooko Inc. and Hedia ApS launched an integrated software solution in the U.K. to support people with diabetes who require advanced doses of bolus insulin. The solution combines Glooko’s diabetes monitoring platform with Hedia’s diabetes dosing recommendation app to deliver personalized insulin dosing advice to people with type 1 and type 2 diabetes.
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Fire1 NORM management system

Hey Norm: Fire1 cheers as $120M raised for HF management system

Jan. 9, 2025
By Shani Alexander
Fire1 Ltd. secured $120 million in financing to conduct a pivotal trial for its heart failure management system, Norm. The technology measures fluid in the inferior vena cava (IVC) and is expected to help the millions of people living with heart failure manage their condition and get their normal life back.
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Xeltis-Axess-vascular-access-conduit-8jan25jpg.jpg

Xeltis completes enrollment in EU pivotal trial for vascular access conduit

Jan. 8, 2025
By Shani Alexander
Xeltis BV completed enrollment in the EU pivotal trial for its restorative vascular access conduit, Axess. The prospective study will investigate the patency, safety and performance of Axess in adult patients with end-stage renal disease requiring vascular access to start or maintain hemodialysis therapy.
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3D rendering of heart, mitral valve

Medtronic receives CE mark for heart valve replacement system

Jan. 7, 2025
By Shani Alexander
Medtronic plc received CE mark approval for its Harmony transcatheter pulmonary valve system to treat congenital heart disease patients with native or surgically repaired right ventricular outflow tract pulmonary regurgitation.
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Illustration of a cluster of ovarian cancer cells
Cancer

New AI-based models better than humans at diagnosing ovarian cancer

Jan. 7, 2025
By Shani Alexander
Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian cancer in ultrasound images more accurately than humans. Results from a study published in Nature Medicine showed that the AI models achieved an accuracy rate of 86.3%, compared to 82.6% for the experts and 77.7% for the non-expert examiners.
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Illustration of a cluster of ovarian cancer cells

New AI-based models better than humans at diagnosing ovarian cancer

Jan. 6, 2025
By Shani Alexander
Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian cancer in ultrasound images more accurately than humans. Results from a study published in Nature Medicine showed that the AI models achieved an accuracy rate of 86.3%, compared to 82.6% for the experts and 77.7% for the non-expert examiners.
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Illustration of a cluster of ovarian cancer cells

New AI-based models better than humans at diagnosing ovarian cancer

Jan. 6, 2025
By Shani Alexander
Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian cancer in ultrasound images more accurately than humans. Results from a study published in Nature Medicine showed that the AI models achieved an accuracy rate of 86.3%, compared to 82.6% for the experts and 77.7% for the non-expert examiners.
Read More
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