eSolutions, mHealth & HealthIT
"Digital technologies can strengthen surveillance systems, improve antimicrobial stewardship, and support early detection of resistant infections"
This category is devoted to news, insights, challenges and solutions when it comes to ITC aspects of dealing with AMR. The category is dedicated to the role of digital technologies, software, and data science in the global effort to combat Antimicrobial Resistance. It covers a wide spectrum of innovations, from large-scale HealthIT infrastructure to patient-facing mHealth applications and advanced analytical tools. Including novel approaches to disease and patient management along with potential breakthroughs and acceleration of drug discovery and development by means of artificial intelligence.
Content includes the use of Artificial Intelligence (AI) to predict resistance patterns, the development of clinical decision support systems to guide appropriate prescribing, mobile apps that promote patient adherence, and web platforms for global AMR surveillance. The focus is on how data and connectivity can be leveraged to create smarter and more effective strategies for antimicrobial stewardship and public health.
News
View allFædrene til kunstig intelligens advarer mod dommedag - hvem tror Trump vil lytte?
Abstract
Problemet: Trump lytter ikke. Alle bør i grunden sætte sig ned og læse det åbne brev, som stifteren af Anthropic, Dario Amodei, udsendte fredag, hvor han tager et opgør med sin teknologi. Lige så opsigtsvækkende, som det åbne brev er, lige så opsigtsvækkende er det, at rivalerne og nogle af de markante teknologibosser i USA slutter massivt op. Andre læser ogsåWhite paper: Understanding drug selectivity and pocket druggability
Abstract
Understanding compound selectivity is vital when designing novel pharmaceuticals. The extent of on- and off-target effects, or potential polypharmacology, informs modifications to develop safe and effective drugs. In this white paper we present a data-driven drug design method which visualizes binding site comparisons across a protein family, to deeply understand selectivity and pocket druggability. These Ensemble Hotspot Maps" are derived from peer-reviewed, experimentally-generated data in the Cambridge Structural Database, and automated to rapidly and visually guide target validation and drug design."Seed Capital Closes €130M Fund V to Back Founders in Denmark and Beyond
Abstract
With this new fund, Seed Capital is expanding its focus beyond Denmark to back 15–17 seed-stage companies across the Nordics in FinTech, Cybersecurity and Resilience, and AI-driven B2B solutions. The fund's investment thesis centers on three key verticals: Reinventing financial infrastructure (FinTech) Enhancing cybersecurity and resilience Transforming SMBs and enterprises (AI-driven B2B) Broadening into the Nordics is a natural move for us and it's been important for us to get the right team, with strong expertise and global mindset. This is also reflected in what we're looking for in the founders we back, founders building global winners" said Christian Broendum, Managing Partner at Seed Capital Strong LP Support and Early Investments Seed Capital's Fund V is backed by a diverse group of limited partners (LPs), including Realdania, EIFO, Dansk Vækst Kapital, Sampension, Lauritzen Fonden, Augustinus Fonden, family offices, and angel investors. With a new generation of partners, a proven platform, and fresh capital, Seed is well positioned to continue backing the most ambitious founders and strengthening the Danish and Nordic startup ecosystem," said Alexander Knudsen, investor at EIFO The fund has already made its first investments, including Norlix, Blackbird Coffee, Fortiv, Moxso, Pluto Markets, Repodo, and Oplane, with more to come."
