...In the nerve fibre world Facebook X (Twitter) WhatsApp LinkedIn Pinterest Copy link Squids are size champions 11/07/25, 10:53 Last updated: Published: 29/06/23, 10:33 ...In the nerve fibre world A cephalopod adventure When you think of squids, you probably imagine them swimming through the ocean and using tentacles to catch their prey. Scientists might not! These slimy sea creatures have helped us to study and understand how our own nervous system works. That’s right, squids are more than just tasty seafood. Squids have a giant axon, which is a single nerve fiber that is much larger than the axons found in other animals, including humans. This giant axon can be up to one millimeter in diameter , which is big enough to be seen with the naked eye. If you’re thinking that 1 millimeter is still pretty small, consider that human axons are measured in micrometers (µm) , so the squid’s giant axons are almost one thousand times larger in diameter than ours . In case you’re wondering what an axon is, it’s the long projection of a neuron that conducts electrical impulses away from the cell body. The electrical impulses generated during an action potential travel down the axon and make their way to the synapse. So the axon is a vital component of the nervous system that helps facilitate communication between neurons and other cells. In 1963, the English scientists Hodgkin and Huxley were awarded the Nobel Prize for their groundbreaking experiments on squid giant axons. Through their work, they provided a detailed understanding of the electrical properties of axon membranes and the role of ion channels in generating and propagating nerve impulses. They also discovered that the giant axon is surrounded by a thick layer of insulation called myelin , which speeds up the transmission of nerve impulses. Their research has been fundamental to the development of modern neurophysiology. So, the next time you enjoy a plate of calamari, remember that the squid on your plate might have contributed to our understanding of the nervous system. Written by Viviana Greco Related article: Frog nerves Project Gallery

Your brain is truly an extraordinary structure, and it’s the reason you can do all the amazing things you do. This mass of wrinkly material weighs only about 1.3 kilograms, yet it controls every single thing you will ever do. It’s the engine that drives our behaviour and allows us to interact with the world.  Go Back Facebook X (Twitter) WhatsApp LinkedIn Pinterest Copy link Discovering the Wonders of the Human Brain Last updated: 08/03/26 Published: 13/04/23 Your brain is truly an extraordinary structure, and it’s the reason you can do all the amazing things you do. This mass of wrinkly material weighs only about 1.3 kilograms, yet it controls every single thing you will ever do. It’s the engine that drives our behaviour and allows us to interact with the world. Despite its relatively small size — the brain makes up only 2% of our body mass — it’s an incredibly energy-intensive organ. In fact, it consumes more than 20% of our oxygen supply and blood flow and uses more energy than any other tissue in the body. This is because it has a dense network of neurons, specialised cells that transmit signals throughout the nervous system. There are around 100 billion neurons in the human brain, each connected to thousands of other neurons, passing signals to each other via trillions of synapses. The human brain has more connections than there are stars in the Milky Way galaxy and it can process information at a speed of up to 120 metres per second! Even when you are asleep your brain never really “shuts off”! While you’re snoozing away, your brain is busy consolidating memories, processing emotions, flushing out harmful toxins and keeping your mind sharp and healthy. One more key feature that sets our brain apart is the cortex, the outer layer of the brain responsible for many of the higher cognitive functions that are unique to humans, such as abstract reasoning and language. While all mammals have a cerebral cortex, the human cortex is disproportionately large, accounting for 80% of our total brain mass, and it’s much more complex than any other animal. Now, have you ever wondered how the human brain compares to the brains of other animals? Some animals have much larger brains than we do. For instance, the brain of a sperm whale weighs around 8 kilograms, making it the largest brain of any animal on Earth. To put it into perspective, that’s about five times the size of a human brain! Similarly, the brains of elephants are also much larger than ours, weighing in at around 5 kilograms. Comparative neuronal morphology of the cerebellar cortex in afrotherians, carnivores, cetartiodactyls, and primates We might not have the largest brain compared to other species however, the human brain is larger than most animal brains relative to body size. Why did humans evolve such large brains in the first place? The question has puzzled scientists for years, but there are a few theories that have gained traction. The Social Brain Hypothesis (SBH) suggests that our large brains evolved as a result of our ancestors’ increasingly complex social structures. As early humans began to live in larger groups, they needed to be able to navigate the complex social dynamics of their communities, for example cooperating for resources and maintaining social relationships. Another theory known as “ecological intelligence”, suggests that the pressure for larger brains was driven by environmental conditions. Our ancestors had to adapt to the challenges posed by the environment, such as finding food and shelter. Finally, the Cultural Intelligence (CQ) hypothesis emphasises the challenge of learning from different cultures and teaching their own. While each of these theories has some evidence to support it, there is still much debate among scientists about which theory (if any) is the most accurate. It is likely that all three theories played a role in the evolution of the human brain, to varying degrees. The human brain is a fascinating organ that has captivated scientists and researchers for centuries. Despite all our advances in neuroscience, however, there is still so much that we don’t know about how the brain works and what it is truly capable of. Written by Viviana Greco Related article: The brain-climate connection REFERENCES González-Forero, M., & Gardner, A., 2018. Inference of ecological and social drivers of human brain-size evolution. Nature, 557(7706), Article 7706. https://doi.org/10.1038/s41586-018-0127-x Jacobs, B., Johnson, N. L., Wahl, D., et. al, 2014. Comparative neuronal morphology of the cerebellar cortex in afrotherians, carnivores, cetartiodactyls, and primates. Frontiers in Neuroanatomy, 8. https://doi.org/10.3389/fnana.2014.00024

An individual may be restricted to a certain range of physical activities which they can participate in. Individuals are usually reliant on the surrounding environment and the maintenance of facilities. If they are not kept well maintained, individuals are usually discouraged. Go back Facebook X (Twitter) WhatsApp LinkedIn Pinterest Copy link Influence of different environmental factors on exercise Last updated: 25/02/26 Published: 10/02/23 The characteristics of environmental factors: - Chemical safety - Air pollution - Climate change and natural disasters - Diseases caused by microbes - Lack of access to health care - Infrastructure issues - Poor water quality - Global environmental issues What are the impacts of these environmental influences on physical activity? An individual may be restricted to a certain range of physical activities which they can participate in. Individuals are usually reliant on the surrounding environment and the maintenance of facilities. If they are not kept well maintained, individuals are usually discouraged. The physiological effect on training: Climate change will disproportionately affect the most vulnerable in our populations, including the very young, the very old, and those with pre-existing health conditions. Training adjustments to compensate for the influence of environmental factors on training: - Treatments for heat stress- stop exercising / move to a shaded or air-conditioned area / remove excess clothing or equipment / drink cold beverages / sit in front of a fan / put a cool piece of cloth around neck / place entire body in cool water e.g. cool bath or shower - Treatments for cold stress- move to a warm environment / remove cold and wet clothes / find access to warm air such as heaters, or fireplace / use electric or non-electric blankets / drink warm beverages There is also the concept of blue and green exercise. This refers to physical activity performed in natural environments, specifically in areas with vegetation (green) or water (blue). Combining both, such as running along a coastal path, maximises benefits, reducing stress, anxiety, and depression while improving mood, self-esteem and cognitive function. Written by Kushwant Nathoo Related articles: Impacts of negligent exercise on physiology / Physical and mental health / Environmental impact of EVs

Resources to help you prepare for university admission. Entrance Exam Preparation Resources to help you with university admission for: medicine , dentistry, natural sciences , physics , maths , engineering . Do note these entrance exams are mainly for UK universities, but can be used for international unis too. It is advised to check with the university when applying. You may also like: Personal statements , A-level resources, IB resources and Extra resources MEDICINE: University Clinical Aptitude Test (UCAT) UCAT resources: UCAT website / The Medic Portal / 6med UCAT Books: 1300 UCAT Practice Questions / 1250 UKCAT Practice Questions / UCAT 700+ UCAT online course: Medify Help with medical exams DENTISTRY: UCAT and BioMedical Admissions Test (BMAT; for University of Leeds only) Dentistry application preparation BMAT: online mastery course / Medify guide / Past papers / 700 BMAT Practice Questions / BMAT ebook For UCAT resources, see above OTHER ADMISSION TESTS Engineering: STEP / PAT University of Cambridge: natural sciences (NSAA) / engineering (ENGAA) / maths (STEP) / physics (PAT)

Recognising the remarkable contributions in the vast field of engineering, including silicon hydrogel contact lenses, wireless electricity, hydrogen cars and many other innovations. Engineering Articles Recognising the remarkable contributions in the vast field of engineering, including silicon hydrogel contact lenses, wireless electricity, hydrogen cars and many other innovations. You may also like: Maths , Physics , Technology Pioneers in biomedical engineering An International Women's Month collab with Kameron's Lab; looking at hydroxyapatite polyethylene, imaging and therapeutic tools for cancer and cancer-cell surfaces Silicon hydrogel contact lenses A case study on this latest innovation in eye vision correction Nikola Tesla and wireless electricity Tesla's dream of Wardenclyffe Tower: why did it not become a reality? Hydrogen cars Are they the future model of cars in the UK? The Titan Submersible Investigating its failure due to its design and engineering

Unlocking the secrets to gut health Facebook X (Twitter) WhatsApp LinkedIn Pinterest Copy link The power of probiotics 10/04/26, 11:51 Last updated: Published: 18/08/23, 20:58 Unlocking the secrets to gut health What are probiotics? Probiotics are dietary supplements that consist of live cultures of bacteria or yeast. In the human body, more precisely in the microbiome, there are about 4 trillion bacteria, which include almost 450 species. These bacteria are necessary for the proper functioning of the entire body, especially the intestines and digestive system. In probiotics, bacteria from the Lactobacillus and Bifidobacterium families are most often used, as well as yeasts such as Saccharomyces cerevisiae. How do probiotics work? Probiotics have a wide range of effects on our body. Their main task is to strengthen immunity and improve the condition of the digestive tract. This is because microorganisms produce natural antibodies, and also constitute a kind of protective barrier that does not allow factors conducive to infection to our intestine. Types of probiotics Most often, lactic acid bacteria of the genera Lactobacillus and Bifidobacterium are used as probiotics, but some species of Escherichia and Bacillus bacteria and the yeast Saccharomyces cerevisiae boulardi also have pro-health properties. Probiotics for your gut health The composition of our bacterial flora in the intestines determines the proper functioning of the digestive and immune systems. Probiotics have a positive effect primarily on the intestinal flora. They speed up metabolism and lower bad cholesterol (LDL). Live cultures of bacteria protect our digestive system. They improve digestion, regulate intestinal peristalsis, and prevent diarrhoea. They also increase the nutritional value of products - they facilitate the absorption of minerals such as magnesium and iron as well as vitamins from group B and K. In addition, probiotics strengthen immunity and protect us from infections caused by pathogenic bacteria. Therefore, it is very important to take as many probiotics as possible during and after antibiotic treatment. They will then regenerate the intestinal flora damaged by antibiotic therapy and reduce inflammation. Main benefits · facilitate the digestive process · increase the absorption of vitamins and minerals · during antibiotic treatments, they protect our intestinal microflora · affect the immune system by increasing resistance to infections · some strains have anti-allergic and anti-cancer properties · lower cholesterol · relieve the symptoms of lactose intolerance · ability to synthesize some B vitamins, vitamin K, folic acid Written by Aleksandra Zurowska Related articles: The gut microbiome / Vitamins / Interplay of hormones and microbiome Project Gallery

How do they work? Facebook X (Twitter) WhatsApp LinkedIn Pinterest Copy link A concise introduction to Markov chain models 20/03/25, 11:59 Last updated: Published: 09/03/24, 18:16 How do they work? Introduction A Markov chain is a stochastic process that models a system that transitions from one state to another, where the probability of the next state only depends on the current state and not on the previous history. For example, assuming that X 0 is the current state of a system or process, the probability of a state, X 1 , depends only on X 0 which is of course the current state of the system as stated. P ( X 1 ) = f ( P ( X 0 )) It may be hard to think of any real-life processes that follow this behaviour because there is the belief that all events happen in a sequence because of each other. Here are some examples: Games e.g. chess - If your king is in a certain spot on a chess board, there will be a maximum of 4 transition states that can be achieved that all depend on the initial position of chess piece. The parameters for the Markov model will obviously vary depending on your position on the board which is the essence of the Markov process. Genetics - The genetic code of an organism can be modelled as a Markov chain, where each nucleotide (A, C, G, or T) is a state, and the probability of the next nucleotide depends only on the current one. Text generation - Consider the current state as the most recent word. The transition states would be all possible words which could follow on from said word. Next word prediction algorithms can utilize a first-order Markov process to predict the next word in a sentence based on the most recent word. The text generation example is particularly interesting because only considering the previous word when trying to predict the next word sentence would lead to a very random sentence. That is where we can change things up using various mathematical techniques. k-Order Markov Chains (adding more steps) In a first-order Markov chain, we only consider the immediately preceding state to predict the next state. However, in k-order Markov chains, we broaden our perspective. Here’s how it works: Definition: a k-order Markov chain considers the previous states (or steps) when predicting the next state. It’s like looking further back in time to inform our predictions. Example: suppose we’re modelling the weather. In a first-order Markov chain, we’d only look at today’s weather to predict tomorrow’s weather. But in a second-order Markov chain, we’d consider both today’s and yesterday’s weather. Similarly, a third-order Markov chain would involve three days of historical data. By incorporating more context, k-order chains can capture longer-term dependencies and patterns. As k increases, the model becomes more complex, and we need more data to estimate transition probabilities accurately. See diagram below for a definition of higher order Markov chains. Markov chains for Natural Language Processing A Markov chain can generate text by using a dictionary of words as the states, and the frequency of words in a corpus of text as the transition probabilities. Given an input word, such as "How", the Markov chain can generate the next word, such as "to", by sampling from the probability distribution of words that follow "How" in the corpus. Then, the Markov chain can generate the next word, such as "use", by sampling from the probability distribution of words that follow "to" in the corpus. This process can be repeated until a desired length or end of sentence is reached. That is a basic example and for more complex NLP tasks we can employ more complex Markov models such as k-order, variable, n-gram or even hidden Markov models. Limitations of Markov models Markov models for tasks such as text generation will struggle because they are too simplistic to create text that is intelligent and sometimes even coherent. Here are some reasons why: Fixed Transition Probabilities: Markov models assume that transition probabilities are constant throughout. In reality, language is dynamic, and context can change rapidly. Fixed probabilities may not capture these nuances effectively. Local Dependencies: Markov chains have local dependencies, meaning they only consider a limited context (e.g., the previous word). They don’t capture long-range dependencies or global context. Limited Context Window: Markov models have a fixed context window (e.g., first-order, second order, etc.). If the context extends beyond this window, the model won’t capture it. Sparse Data : Markov models rely on observed data (transition frequencies) from the training corpus. If certain word combinations are rare or absent, the model struggles to estimate accurate probabilities. Lack of Learning: Markov models don’t learn from gradients or backpropagation. They’re based solely on observed statistics. Written by Temi Abbass Related articles: Latent space transformation s / Evolution of AI FURTHER READING 1. “Improving the Markov Chain Approach for Generating Text Used for…” : This work focuses on text generation using Markov chains. It highlights the chance based transition process and the representation of temporal patterns determined by probability over sample observations . 2 . “Synthetic Text Generation for Sentiment Analysis” : This paper discusses text generation using latent Dirichlet allocation (LDA) and a text generator based on Markov chain models. It explores approaches for generating synthetic text for sentiment analysis . 3. “A Systematic Review of Hidden Markov Models and Their Applications” : This review paper provides insights into HMMs, a statistical model designed using a Markov process with hidden states. It discusses their applications in various fields, including robotics, finance, social science, and ecological time series data analysis . Project Gallery

Common questions and answers- along with helpful resources- regarding the International Baccalaureate programme. International Baccalaureate (IB) Are you a student currently studying the IB Diploma Programme (IBDP), or about to commence it? You're in the right place! You may also like: Personal statements , A-level resources , University prep and Extra resources What is the IB? Jump to resources The IB is an International Academic Program which is another alternative to A levels. This is a highly academic program with final exams that prepare students for university and careers. You select one subject from each of the five categories, which include two languages, social sciences, experimental sciences, and mathematics. You must also choose either an arts subject from the sixth group or another from the first to fifth groups. How is the IB graded? Subjects might differ from schools and countries but these are the ideal subjects given in the IB. IB is graded through a point system (7 being the highest and 1 being the lowest) and the highest mark you can achieve in total is 45. For the 6 subjects you study you can achieve a maximum of 42 points. Theory of Knowledge and Extended Essay are combined to gain 3 extra bonus points. These 2 subjects will be marked from A (highest) to E (lowest) and then will be converted to points. What are the benefits of studying the IB? Even though there are a lot of subjects, this programme is great for students to gain new skills and be an all- rounder. IB also helps students to have a better idea of how work will be in university especially with coursework and that is one of the main things you will work on when studying IB- it is known as Internal Asssessment (IA). Doing CAS is also a great opportunity for students to be independent and find activities/ services to do outside of school to build up their portfolio on CAS as well as their CV/ personal statement when applying for university. The marking matrix used in the IB. How do universities use the IB to select students? All universities around the world accept the IB as a qualification gained in secondary school. Depending on the degree you are applying to, universities mainly focus on your Higher Level (HL) subjects. Each university has their own requirements for students applying to study a course at their institution. The most common way is considering your total point score out of 45, and your total point score of your HL subjects. Another way is requiring applicants to achieve a certain grade in a particular grade at HL or at standard level (SL). If you complete the IB programme well enough, universities may prefer you over the other qualifications e.g. A-levels. Benefits of completing the IB programme. Resources for revision Websites to help Official IB website and the IB Bookshop Maths IA ideas Maths Analysis and Approaches SL and HL practice questions Maths resources in general / Worksheets and more Biology- BioNinja Biology, Chemistry, Physics, Maths- Revision Village / Save My Exams Biology, Chemistry, Maths- IB Dead IB Psychology IB Computer Science resources EE, IA, TOK and essay help YouTube channels to help Chemistry- Richard Thornley Physics- Chris Doner Textbooks for both HL and SL Bio: Oxford IB Diploma Programme: Biology Course Biology for the IB Diploma by Brenda Walpole Chem: Chemistry Oxford IB Diploma Programme: Chemistry Course Chemistry for the IB Diploma Coursebook with Cambridge Elevate Enhanced Edition b y Steve Owen Physics: Physics Oxford IB Diploma Programme: Physics Course Physics for the IB Diploma with Cambridge by T. A. Tsokos Maths: Maths Oxford IB Diploma Programme- IB Mathematics: analysis and approaches / applications and interpretations

AI has long been a controversial topic, with some people fearing its potential consequences. This has been exacerbated by popular culture, with movies such as "The Terminator" and "2001: A Space Odyssey" depicting AI systems becoming self-aware and turning against humans. Go back Facebook X (Twitter) WhatsApp LinkedIn Pinterest Copy link The evolution of AI: understanding the role of NLP technologies Last updated: 11/04/26 Published: 08/05/23 Artificial intelligence (AI) has long been a controversial topic, with some people fearing its potential consequences. This has been exacerbated by popular culture, with movies such as The Terminator and 2001: A Space Odyssey depicting AI systems becoming self-aware and turning against humans. Similarly, The Matrix portrayed a dystopian future where AI systems had enslaved humanity. Fast forward to the present day- AI has become a normal part of our everyday life, whether we realise it or not. From virtual assistants like Siri and Alexa to personalised movie and product recommendations, AI-powered technologies have revolutionised the way we interact with technology. AI also plays a critical role in industries such as healthcare, finance, and transportation, with algorithms helping to analyse data, identify patterns, and make predictions that lead to better decision-making. As with any industry, the AI industry is very much prone to evolution. In fact, this is especially relevant for the AI industry, given that it engages user habits to learn and redefine its understanding. This has led to the introduction of unforeseen technologies. One of the most studied and developed AI modelling techniques, Natural Language Processing (NLP), has been particularly placed under focus recently with the emergence of technologies such as Open AI’s ChatGPT, Google’s Gemini (formerly Bard) AI and Microsoft’s Bing AI- known as Copilot. ChatGPT in particular, was one of the first technologies of this kind to garner significant fame. Within its first year of release, the GPT-3 model had more than 10,000 registered developers and over 300 applications built on its application programming interface (API). In addition, Microsoft acquired OpenAI's exclusive license to the GPT-3 technology in 2020, further solidifying its position as a leading language model in the industry. ChatGPT works as an advanced artificial intelligence technology designed to understand and process human language. Built on the GPT-3.5 architecture, it uses NLP to comprehend and generate responses that simulate human conversation. ChatGPT is classified as a large language model, which means it has been trained on vast amounts of data and can generate high-quality text that is both coherent and relevant to the input provided. While concerns have been raised about the potential impact of NLP technologies, there are several reasons why we should not fear their emergence. Firstly, NLP has already enabled a wide range of useful applications that have the potential to improve efficiency, convenience, and accessibility. Furthermore, the development and deployment of NLP technologies is subject to ethical considerations and regulations that aim to ensure their responsible use. NLP technologies are not designed to replace humans, but rather to complement and enhance human capabilities. While some jobs may be impacted by automation, new jobs are likely to emerge that require human skills that are not easily replicated by machines. Ultimately, the impact of NLP technologies depends on how they are developed and used. There are always likely to be risks, but by taking a proactive approach to their development and deployment, we can ensure that they are used to benefit society and advance human progress. Written by Jaspreet Mann Related articles: AI: the good, the bad, and the future / Latent space transformations / Markov chains REFERENCES Hirschberg, Julia, and Christopher D. Manning. “Advances in Natural Language Processing.” Science, vol. 349, no. 6245, July 2015, pp. 261–66. DOI.org (Crossref), https://doi.org/10.1126/science.aaa8685. What Is Natural Language Processing? | IBM. https://www.ibm.com/topics/natural-language-processing. Accessed 1 May 2023. Biswas, Som S. “Role of Chat GPT in Public Health.” Annals of Biomedical Engineering, vol. 51, no. 5, May 2023, pp. 868–69. Springer Link, https://doi.org/10.1007/s10439-023-03172-7. Davenport, T.H. (2018). The AI Advantage: How to Put the Artificial Intelligence Revolution to Work. MIT Press. Bird, S., Klein, E., & Loper, E. (2009). Natural Language Processing with Python. O'Reilly Media.

Key facts Facebook X (Twitter) WhatsApp LinkedIn Pinterest Copy link Apocrine carcinoma: a rare form of breast cancer 22/04/25, 15:13 Last updated: Published: 05/09/24, 11:20 Key facts This is article no. 7 in a series on Rare Diseases. Next article: Pseudo-Angelman Syndrome . Previous article: Neuromyelitis optica . Apocrine carcinoma (AC) is a rare form of breast cancer, accounting for approximately 1-4% of all breast cancer cases worldwide. It affects a wide range of patients from 19 to 92 years of age, with the reported mean age varying from 53 to 62 years. AC of the skin - primary cutaneous apocrine carcinoma - is the only other known cancer that arises from apocrine cells. This is a very rare cancer with limited research. AC is commonly classified into two subtypes: triple-negative AC (TNAC) and HER2+ AC. Another receptor not included in the ‘triple negative’ name is the androgen receptor (AR). A ‘pure’ apocrine carcinoma is ER-negative, PR-negative, but AR-positive. Among triple negative ACs, ones that are AR-positive have a better prognosis. AC is often associated with triple-negative breast cancers (TNBC), meaning that it does not express oestrogen receptors (ER) and progesterone receptors (PR), and produces very little to no HER2– all of which play key roles in the reproductive system. AC arises from apocrine metaplastic cells that are commonly located in the lobules of the breast. This disease can be aggressive and can metastasise to the lymph nodes and distant organs (eg. lungs, liver, and bone). What makes AC different is the appearance of cells which have abundant granular eosinophilic or cytoplasm with fine empty vacuoles. Despite its rarity, focal apocrine differentiation is relatively common (reported in approximately 60% of not otherwise specified [NOS] invasive ductal carcinoma) and shows clinical presentation and radiographic findings similar to that of invasive ductal carcinoma NOS. TNBCs are generally aggressive and present a poor prognosis. However, studies show apocrine breast cancer to have a better prognosis and low proliferative nature, despite its poor response to neoadjuvant chemotherapy. Treatment of AC may include surgery, radiation therapy, chemotherapy, hormone therapy, or targeted therapy. The problem with TNACs is that therapies targeting the hormone receptors are ineffective. Conversely, targeted therapy is seen to work relatively well with HER2-positive ACs despite them being more aggressive than TNACs. ACs can be diagnosed through a series of tests—usually a mammogram, ultrasound, biopsy, and finally immunohistochemistry. The latter makes it possible to know the status of the ERs and PRs. As with most breast cancers the earlier the detection and treatment implementation, the better the prognosis for the patient. ACs can be hard to diagnose due to its rarity and non-specific presentation. AC has a low proliferative nature, which is shown in its low Ki-67 index. Ki-67 has a higher presentation in cells that have a high division rate. Slower division rates result in slower growth rates of the tumour, and may imply that there is a better prognosis. This could be one of the reasons why apocrine triple-negative breast cancers have a better prognosis than other types of TNBCs. There is promise in the future for AC, however this is not without its challenges. Due to its rarity there are limited patients to participate in clinical trials which are essential in new treatment development. Written by Henrietta Owen & Sherine A Latheef Related article: Epitheliod hemangioendothelioma REFERENCES Apple, S.K., Bassett, L.W. and Poon, C.M. (2011) ‘Invasive ductal carcinomas’, Breast Imaging, pp. 423–482. doi:10.1016/b978-1-4160-5199-2.00022-9. Bcrf (2024) Types of breast cancer: BCRF, Breast Cancer Research Foundation. Available at: https://www.bcrf.org/blog/types-of-breast-cancer/ (Accessed: 05 June 2024). Hu, T. et al. (2022) ‘Triple-negative apocrine breast carcinoma has better prognosis despite poor response to neoadjuvant chemotherapy’, Journal of Clinical Medicine, 11(6), p. 1607. doi:10.3390/jcm11061607. Suzuki, C., Yamada, A., Kawashima, K., Sasamoto, M., Fujiwara, Y., Adachi, S., Oshi, M., Wada, T., Yamamoto, S., Shimada, K., Ota, I., Narui, K., Sugae, S., Shimizu, D., Tanabe, M., Chishima, T., Ichikawa, Y., Ishikawa, T., & Endo, I. (2023). Clinicopathological Characteristics and Prognosis of Triple-Negative Apocrine Carcinoma: A Case-Control Study. World Journal of Oncology, 14(6), 551-557. Vranic, S., Feldman, R. and Gatalica, Z. (2017) ‘Apocrine carcinoma of the breast: A brief update on the molecular features and targetable biomarkers’, Bosnian Journal of Basic Medical Sciences, 17(1), pp. 9–11. doi:10.17305/bjbms.2016.1811 Xiao, X., Jin, S., Zhangyang, G., Xiao, S., Na, F. and Yue, J. (2022). Tumor-infiltrating lymphocytes status, programmed death-ligand 1 expression, and clinicopathological features of 41 cases of pure apocrine carcinoma of the breast: a retrospective study based on clinical pathological analysis and different immune statuses. Gland Surgery, 11(6), pp.1037–1046. doi:https://doi.org/10.21037/gs-22-248. Project Gallery