Ahmed Ashour Ahmed

Gynaecological Oncology Surgeon and head of the Ovarian Cancer Cancer Cell Laboratory at the Weatherall Institute of Molecular Medicine, University of Oxford.

[Ovarcome @ovarcome]

Promising! The world's first #ovariancancer vaccine OvarianVax could wipe the disease out - it teaches the immune system to recognize and attack the earliest stages of ovarian cancer. #Ovarcome
@UniofOxford
Congratulations @ProfAhmedA & team! 👏
https://t.co/Il13TSj6LH

[Ahmed Lab @oxfordahmedlab]

Great cancer prevention conference last week. Thank you @CRUKresearch for the opportunity to speak. It was very exciting and I learnt a lot @ProfAhmedA

[Ahmed Ashour Ahmed @ProfAhmedA]

What a great discovery @MMorotti the impact of this work on patients will be huge. Very well done

[Matteo Morotti @MMorotti]

Proud to share the results of our study on the effect of prostaglandin E2 on T cells, which was just published in Nature in which we discovered a new role for PGE2 in inhibiting interleukin-2 (IL-2) sensing and signalling in tumor-reactive T cells https://t.co/9Pu6cy0JvA

[MRC WIMM @MRC_WIMM]

This #WorldCancerDay we’re taking a look at some of the ways our researchers are working to better understand cancers and how to treat and detect them 🔬🥼

Full video: https://t.co/93id6D8DZZ

We spoke to @ketanpatelimmo1, @andiroy, @ProfAhmedA and Ben Fairfax about their research and the impact they hope it will have.

@CR_UK | @MRC_MHU | @OxPaediatrics | @Ox_wrh | @OxfordOncology | @RDMOxford | @OxfordMedSci | @UniofOxford

[Nuffield Dept of Women's & Reproductive Health @Ox_wrh]

AI is changing the way we approach cancer treatment. By analysing key data, #AI algorithms can see patterns and make predictions that help in developing treatments.

@cwcyau & @ProfAhmedA explain more in @physoc
https://t.co/9YZu9kOaWF 

#OvarianCancer #WomenHealthStudies

[The Physiological Society @PhySoc]

@cwcyau @ProfAhmedA @UniofOxford While the possibilities are exciting, the integration of AI in personalised therapies brings new challenges. Regulatory considerations, potential biases, and the need for careful evaluation underscore the importance of thoughtful planning in AI-enabled therapeutic pathways.

[Ahmed Lab @oxfordahmedlab]

Huge congratulations to Prof Ahmed Ahmed for his distinguished service to academic obstetrics and gynaecology!👏👏👏

[Ahmed Ashour Ahmed @ProfAhmedA]

Delighted that this prestigious fellowship is now available for applications in our lab in collaboration with Lincoln college

[Ahmed Lab @oxfordahmedlab]

An exciting fellowship to investigate cancer immunology available at our lab!
https://t.co/8BzGSIRaGI

[Ahmed Ashour Ahmed @ProfAhmedA]

Really excited about this work in collaboration with @bayley_lab We built a credible model for minimal residual disease in ovarian cancer. An important step towards MRD elimination. A surprisingly under investigated topic in solid tumours.

[Ahmed Lab @oxfordahmedlab]

Checkout our new 3D model for #ovariancancer MRD! An exciting collaboration with @bayley_lab taking us a step closer to #longersurvival for women with this disease".
https://t.co/t5OVSelOjt

[bioRxiv @biorxivpreprint]

A 3D microtumour system that faithfully represents ovarian cancer minimal residual disease https://t.co/NurPanrgIa #bioRxiv

[Ahmed Ashour Ahmed @ProfAhmedA]

Wonderful to see this @cwcyau

[Christopher Yau @cwcyau]

Super-pleased that years of collaboration with @ProfAhmedA and @Ox_wrh is featured in the @physoc AI report today. Now being translated via @BioSingula

[Christopher Yau @cwcyau]

The early detection of disease seems like a good idea but why is it difficult to accomplish in practice? In this blog, I try to simply describe some methodological concepts that need to be considered in the context of early detection: https://t.co/rQaheCx5et

[Ahmed Ashour Ahmed @ProfAhmedA]

@cblenkie Hello my friend @cblenkie long time no see. I hope life has been treating you well. Let me know if you are ever in England 😊

[Ahmed Ashour Ahmed @ProfAhmedA]

@CMichaelGibson Very well said

[Oxford Cancer @OxfordCancer]

Christmas Countdown Day 4 - The Oxford Classic arrives

This year @Ox_wrh @oxfordahmedlab developed a new way to subtype ovarian #cancer called the #Oxford Classic. It enables accurate predictions of patient outcomes and dictate personalised therapies

👉https://t.co/YhOxT1LCiH

[Christopher Yau @cwcyau]

CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation: New paper by @zhi_yuan_hu with @ProfAhmedA https://t.co/OPFkiMrR6w

[Marie-Claire 🌈 @MCPlatt]

Beyond proud to talk collaboration in ovarian cancer with the UK BioProcessing sector today. Thank you @BIA_UK for having me, @ProfAhmedA , Jo Nunn, Dr Shibani Nicum and Sharon Grimster - the dream team 💪🏼

[Ovarian Cancer Action @OvarianCancerUK]

We're excited to announce that Ovarian Cancer Action funded researchers @ProfAhmedA & Prof Chris Yau @cwcyau have been recognised by the Columbia Hospital For Women Research Foundation for publishing the most impactful paper in the field for 20/21.

[Ahmed Ashour Ahmed @ProfAhmedA]

Many thanks to our funders @OvarianCancerUK and the support of @Ox_wrh @MRC_WIMM

[Ahmed Ashour Ahmed @ProfAhmedA]

Really honored to receive an award from CHWRF with @cwcyau and our co-authors for the most impactful manuscript in our field for 2020. Well done @zhi_yuan_hu and @oxfordahmedlab https://t.co/Y3xMelU73A

[Ahmed Ashour Ahmed @ProfAhmedA]

We termed the non-genetic heterogeneity-based classification the “Oxford Classic”. We subsequently validated the fundings using in an independent data set in collaboration with @CF_PC_OvCaGroup https://t.co/qDc7Vc8qcC