Fertility
The 0th trimester: Reshaping the start of your pregnancy

Article produced in association with London Pregnancy Clinic and Jeen Health
For many years, formal clinical involvement in a pregnancy began at the point of confirmation, typically around eight to ten weeks.
The concept of the ‘0th trimester’ represents a shift in thinking: that the period before conception is itself a clinically significant window, during which health optimisation, risk identification and informed planning can meaningfully improve pregnancy outcomes.
Guidance from Tommy’s and the NHS both recommend pre-conception care as part of responsible reproductive health management.
What Pre-Conception Care Involves
Pre-conception care is not a single test or appointment. It is a structured approach to assessing and optimising a woman’s health before she attempts to conceive.
The NHS guidance on planning a pregnancy recommends a range of measures including taking folic acid, reviewing medications for safety in pregnancy, ensuring immunity to rubella and chickenpox, and addressing pre-existing conditions such as thyroid disorders, diabetes or high blood pressure before conception occurs.
General pre-conception assessments typically include blood pressure and BMI review, full blood count and iron levels, thyroid function, immunity screening (rubella, varicella), vitamin D status and cervical screening if overdue.
For women with existing conditions, specialist review before pregnancy is often more valuable than specialist referral during it.
Fertility Investigations as Part of the 0th Trimester
For women who are planning a pregnancy but have concerns about fertility, pre-conception investigations provide information that informs planning rather than leaving uncertainty unaddressed.
Clinics offering 0th trimester services, including London Pregnancy Clinic, provide investigations including hysterosalpingo-contrast-sonography (HyCoSy) to assess tubal patency, follicle tracking scans, anti-Mullerian hormone (AMH) testing to estimate ovarian reserve, and endometrial assessment.
These tests do not guarantee conception but they provide a clinical foundation from which fertility decisions can be made with better information.
Genetic Assessment in Pre-Conception Care
The genetic dimension of pre-conception care is increasingly central to a thorough 0th trimester assessment.
Genetic carrier screening before pregnancy allows couples to identify their carrier status for conditions such as cystic fibrosis, SMA and a range of other inherited disorders before conception, giving them time to consider their options with appropriate clinical support.
At-home carrier testing offered by Jeen Health provides access to comprehensive carrier screening without the need for a clinical referral.
Couples collect their sample at home and receive results within a defined timeframe.
When both partners carry a variant in the same gene, the result can be followed up with genetic counselling via clinics such as London Pregnancy Clinic, where clinical specialists can contextualise the findings and explain the available options.
Lifestyle and Nutritional Factors
Pre-conception health is not limited to clinical testing.
Lifestyle factors including physical activity levels, nutritional status, alcohol consumption and smoking all influence fertility and early fetal development.
Pre-conception care provides an opportunity to address these factors proactively rather than as an afterthought following a positive test.
Folic acid supplementation, recommended at 400 micrograms per day in the pre-conception period and the first trimester, is one of the most evidence-supported interventions available.
Why Timing Matters
Many of the interventions that benefit pregnancy are most effective when started before conception rather than after.
Addressing thyroid dysfunction, normalising blood pressure, treating iron deficiency anaemia, and identifying genetic risks all have a higher potential impact when managed from the outset rather than detected at the first antenatal appointment.
The 0th trimester framework provides a way of thinking about pre-conception care as a structured medical period with its own clinical agenda, rather than simply a waiting room for the first trimester.
What a Pre-Conception Appointment Might Look Like
A comprehensive pre-conception assessment with a specialist provider would typically cover a clinical consultation reviewing medical and family history, a pelvic ultrasound scan, blood tests for general health markers and fertility hormones, cervical health review if indicated, and a discussion of genetic risk including a recommendation for carrier screening if appropriate.
For couples with specific concerns about fertility or genetic history, specialist investigations can be added to this baseline assessment.
Disclaimer: This article is produced for informational purposes only and does not constitute medical advice, diagnosis or treatment.
Clinical guidance referenced reflects published NHS, NICE and RCOG standards as at March 2026. Individual circumstances vary; readers are advised to consult a qualified healthcare professional before acting on any information in this article.
This piece was produced in association with London Pregnancy Clinic and Jeen Health, which provided background clinical information for editorial purposes.
Hyperlinks to external sources are included for reference only and do not represent an endorsement of any product, service or organisation.
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AI could transform ovarian care through personalisation, study finds

AI could transform ovarian care by personalising cancer and fertility treatment, but more clinical validation is needed before routine use.
A systematic review and meta-analysis found AI models showed high diagnostic accuracy for ovarian cancer when combining data such as ultrasound scans and blood test results.
Across 81 studies, AI models correctly identified ovarian cancer in around nine out of 10 cases, with pooled rates of 89 to 94 per cent.
They were also highly accurate at ruling out ovarian cancer when it was not present, with specificity of 85 to 91 per cent.
The analysis also found that explainable AI tools could predict complete surgical cytoreduction in advanced ovarian cancer.
Complete surgical cytoreduction means removing all visible cancer during surgery, which can be an important goal in treatment planning.
The tools achieved a pooled AUC of 0.87. AUC is a measure of how well a model distinguishes between different outcomes, with higher scores showing stronger performance.
In reproductive medicine, AI algorithms helped physicians optimise ovarian stimulation protocols and predict follicular growth during IVF.
Ovarian stimulation is the use of hormones to encourage the ovaries to produce eggs, while follicles are the small sacs in the ovaries where eggs develop.
The review found AI could reliably model ovarian response in IVF with a pooled AUC of 0.81.
However, researchers said challenges remain in translating promising research findings into routine clinical practice.
They identified substantial variation across studies, driven by retrospective study designs, variable AI systems and a lack of standardised validation.
Only 22 per cent of analysed studies reported prospective, multicentre external validation, where models are tested forward in time across multiple healthcare settings.
The authors called for rigorous validation to help close the gap between research and routine clinical practice, alongside standardised methodological and reporting frameworks, smooth integration with clinical workflow and robust governance to support responsible and ethical AI use.
They concluded: “Artificial intelligence is a transformative force in the management of ovarian conditions.
“In gynaecologic oncology, AI enhances every phase of care, from early detection and accurate diagnosis to prognostic stratification and surgical planning.”
In reproductive medicine, AI personalises ovarian stimulation and refines the diagnosis of heterogenous endocrine disorders such as PCOS.
PCOS, or polycystic ovary syndrome, is a hormonal condition that can affect periods, skin, weight and fertility.
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