Metagenomic Analysis Helps Predict Antibiotic Effectiveness

We are excited to announce our new paper titled Clinical considerations on antimicrobial resistance potential of complex microbiological samples, now published in PeerJ! This research demonstrates how metagenomic approaches can effectively predict antibiotic susceptibility in complex bacterial samples.

Youth Award of the Hungarian Academy of Sciences

We are happy to announce that our postdoc, Orsolya Pipek, has been awarded the Youth Award of the Hungarian Academy of Sciences!

Átadták az Akadémiai Ifjúsági Díjakat | mta.hu
Fiatal ELTE-s kutatókat ismert el az MTA | elte.hu

Watch: Encyclopedia video of our paper

Watch the video summary of our paper on the benefits of using AI in diary cattle farming!

In the Hungarian media

Mesterséges intelligenciával a személyre szabottabb petefészekrák-kezelésért | elte.hu

Our doctoral students win international TB detection challenge

We are pleased to announce that Zsolt Bedőházi and András Biricz, doctoral students of our group, have won first place in the Nightingale Open Science healthcare data analysis competition. Their innovative AI-based method for automated tuberculosis detection in microscopy images earned them the top prize of $3000, and their approach will be tested by Wellgen Medical on their private dataset. The winning solution combines UNI, a pathology foundation model, with a custom-tuned Transformer architecture to detect TB bacteria in respiratory samples.

TBC-diagnózis mesterséges intelligenciával | elte.hu
Az EMK kutatói győztesként vettek részt a Machine Learning for Health (ML4H) konferencián | semmelweis.hu
Adatelemző versenyt nyertek az ELTE doktoranduszai | minuszos.hu

Our researcher wins Junior Prima Prize in Science

We are delighted to report that Orsolya Pipek from our research group has been awarded the Junior Prima Prize in the "Hungarian Science" category. The award recognizes outstanding young scientists under 33 who have made significant contributions to Hungarian science through their research, international achievements, and educational activities.

Két ELTE-s az idei Junior Prima díjasok között | elte.hu
Átadták a Junior Prima díjakat a magyar tudomány kategóriában | primaprimissima.hu

In the Hungarian media

Több ezer fertőző betegség lesz nyomon követhető a szennyvíz segítségével | elte.hu

Watch: Interview with István Csabai on AI

We are pleased to share an interview with István Csabai, professor at the Department of Physics of Complex Systems at ELTE, discussing artificial intelligence, its research, opportunities for students at ELTE, and the future of this technology. The interview is in Hungarian.

Watch: Artificial Intelligence in Physics

We are pleased to share a recorded presentation by István Csabai exploring the role of artificial intelligence in physics. The lecture, titled Mesterséges intelligencia a fizikában, was presented as part of the "Az atomoktól a csillagokig" lecture series and is delivered in Hungarian.

Making sense of the 2024 Physics Nobel Prize

We are pleased to share István Csabai's Hungarian-language summary explaining how statistical physics models contributed to the development of artificial intelligence algorithms, titled The Nobel Prize in Physics 2024, published in Magyar Tudomány!

AI combines microscopy and protein data to predict ovarian cancer treatment outcomes

We are happy to announce our new paper on improving chemotherapy response prediction in ovarian cancer patients, titled Histopathology and proteomics are synergistic for High-Grade Serous Ovarian Cancer platinum response prediction, now published in npj Precision Oncology!

New tool helps monitor test accuracy in primer sets for virus detection

We are pleased to announce our new paper presenting a web-based solution for tracking viral test reliability, titled ViralPrimer: a web server to monitor viral nucleic acid amplification tests' primer efficiency during pandemics, with emphasis on SARS-CoV-2 and Mpox, now published in Bioinformatics!

New study on sewage-based disease surveillance

We are pleased to announce our new paper on developing better methods to track pathogens and antibiotic resistance in city sewage systems, titled Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance, now published in Nature Communications!

New publication on explaining the cancer detection abilities of pigeons

We are thrilled to announce our new paper on how pigeons' aerial navigation skills might enable their surprising ability to detect cancer in medical images, titled Transfer learning may explain pigeons' ability to detect cancer in histopathology, now published in Bioinspiration & Biomimetics!

New publication on improving SARS-CoV-2 genomic analysis

We are excited to share our new paper on developing a more accurate method for analysing viral mutations, titled Comparing full variation profile analysis with the conventional consensus method in SARS-CoV-2 phylogeny, now published in Briefings in Bioinformatics!

In the Hungarian media

Az egyidőben terjedő SARS-CoV-2-variánsok kockázatai | elte.hu
Az egyidőben terjedő SARS-CoV-2-variánsok kockázatai | medicalonline.hu
Magyar kutatók vizsgálják, hogy milyen eséllyel jönnek létre hibrid koronavírus-variánsok az egyidejű fertőzések következtében | qubit.hu

New publication on the potential applications of Hungarian bauxite residues

Our new paper on the behaviour of red mud-isolated microbes in extreme conditions, titled The potential of Hungarian bauxite residue isolates for biotechnological applications is now published in Biotechnology Reports!

New publication on the mechanism of aging

We are delighted to announce that our new paper on the biological mechanism governing aging, titled Biologically informed deep learning for explainable epigenetic clocks is now published in Scientific Reports!

New dataset published

We are happy to report that our annotated dataset of human brain tissues stained with ALDH1L1 and GFAP is now published in Scientific Data!

New publication on SARS-CoV-2 co-infection and intra-host recombination

Our new paper investigating an enormous set of SARS-CoV-2 sequencing data, titled Systematic detection of co-infection and intra-host recombination in more than 2 million global SARS-CoV-2 samples has now been published in Nature Communications!
You can read a short summary of the study in the Behind the Paper blogpost of the journal.

In the Hungarian media

Alkalmazás segít a szúnyogvadászatban | 24.hu
Mosquito Alert – állampolgári hozzájárulással a tudományért, a fertőző betegségek ellen | masfelfok.hu

In the Hungarian media

Gépi tanulás segítheti az ízületi károsodások felismerését | elte.hu

In the Hungarian media

A bélbaktériumok bakteriofágjai befolyásolják a daganatterápia hatékonyságát | elte.hu

In the Hungarian media

Antibiotium és tej | elte.hu

In the Hungarian media

Az ELTE kutatói is segítik a koronavírussal kapcsolatos adatok megosztását | elte.hu

In the Hungarian media

Nemzetközi kutatás az új fertőző betegségek felderítésére | elte.hu

In the Hungarian media

A mesterséges intelligencia már itt van a magyar egészségügyben | portfolio.hu

In the Hungarian media

ELTE-s aranyérem New Yorkból | elte.hu

In the Hungarian media

Szennyvízben kutatták magyarok a városlakók genetikai összetételét | index.hu
Járványok terjedése akadályozható meg az ELTE kutatóinak új módszerével | elte.hu