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By:

Dr. Keshav Kumar and Madhubanti Das

5 October 2024 at 5:09:52 am

Science Behind Hanging and Strangulation Cases

Forensic pathology transforms subtle signs of neck compression into scientific evidence that reveals whether a death was suicide, homicide, or an accident. A simple mark around the neck can become one of the most important clues in a criminal investigation. Hanging and strangulation may appear similar, but forensic experts can determine the difference between whether a death is suicide, an accident, or murder. Through scientific examination of the body, crime scene, and surrounding evidence,...

Science Behind Hanging and Strangulation Cases

Forensic pathology transforms subtle signs of neck compression into scientific evidence that reveals whether a death was suicide, homicide, or an accident. A simple mark around the neck can become one of the most important clues in a criminal investigation. Hanging and strangulation may appear similar, but forensic experts can determine the difference between whether a death is suicide, an accident, or murder. Through scientific examination of the body, crime scene, and surrounding evidence, forensic pathology helps the dead speak the truth. The forensic study of neck compression deaths has evolved over centuries, but modern medico-legal investigation became more scientific during the 19th and 20th centuries with advancements in autopsy techniques, toxicology, and forensic imaging. Today, forensic experts use photography, histopathology, CT scans, and DNA analysis to investigate suspicious deaths. Hanging occurs when pressure on the neck is caused by the body’s own weight using a ligature such as a rope, dupatta, or wire. Strangulation, however, involves external force applied manually or with an object. While hanging is often associated with suicide, strangulation is commonly linked to homicide or assault. Forensic experts closely examine ligature marks during autopsy. In hanging, the mark is usually upward, oblique, and incomplete, while in strangulation it is more horizontal and continuous. Investigators also study fractures of the hyoid bone and thyroid cartilage, internal bleeding in neck muscles, tongue protrusion, facial congestion, and petechial haemorrhages in the eyes. Even salivary dribbling marks, knot position, and whether the body was in complete or partial suspension can provide critical medico-legal clues. These subtle injury patterns help medical examiners reconstruct the final moments before death, turning small physical findings into powerful courtroom evidence. India has witnessed several important cases where forensic experts played a crucial role in differentiating hanging from strangulation. The mysterious death of Sunanda Pushkar brought national attention to forensic pathology, toxicology, and injury interpretation in suspicious death investigations. In a Ghaziabad dowry death case, autopsy findings including a fractured hyoid bone and characteristic ligature marks helped establish homicidal strangulation, leading to conviction. The infamous Joshi-Abhyankar serial murders further highlighted how forensic examination of ligature patterns and crime-scene evidence can assist investigators in linking multiple murders and identifying offenders. These cases reflect the growing role of scientific evidence in India’s criminal justice system. The Supreme Court of India has repeatedly emphasised the importance of forensic and scientific evidence in criminal investigations rather than relying solely on confessions or assumptions. Courts today increasingly depend on autopsy reports, toxicology findings, DNA analysis, and expert medical testimony in suspicious death cases. In Ponnusamy v. State of Tamil Nadu (2008), the Supreme Court relied on the forensic assessment of ligature marks and neck injuries to distinguish suicidal hanging from homicidal strangulation. The judgement became a landmark precedent in forensic jurisprudence. Similarly, in Ravirala Laxmaiah v. State of Andhra Pradesh (2013), forensic pathology and autopsy findings helped expose a staged suicide narrative and establish the true manner of death. Globally, organisations such as INTERPOL and the United Nations Office on Drugs and Crime encourage scientific death investigation systems to strengthen justice delivery. Institutions like the National Forensic Sciences University, AIIMS forensic departments, and state forensic laboratories continue to advance forensic pathology research and training in India. Artificial intelligence is now entering forensic medicine as well. AI-assisted tools are being developed to analyse autopsy images, identify injury patterns, reconstruct crime scenes, and reduce human error during medico-legal examinations. Researchers are exploring digital autopsy and 3D reconstruction technologies for better analysis of neck injuries and suspicious deaths. Behind every ligature mark lies a silent story waiting to be interpreted by science. Whether the truth points to suicide, homicide, or accident, forensic pathology ensures that justice is guided not by assumptions, but by evidence hidden within the human body itself. (Kumar is a retired IPS and forensic consultant to the Assam government. Das is a student of National Forensic University, Guwahati.)

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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